Deep Learning with PyTorch
Build, Train, and Tune Neural Networks Using Python Tools
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
$0.99/mes por los primeros 3 meses
Exclusivo para miembros Prime: ¿Nuevo en Audible? Obtén 2 audiolibros gratis con tu prueba.
Deep Learning with PyTorch
Compra ahora por $24.95
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Mark Thomas
Acerca de esta escucha
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
This book will make that journey engaging and fun.
About the technology
Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options.
About the book
Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results.
After covering the basics, the book will take you on a journey through larger projects.
What's inside
- Training deep neural networks
- Implementing modules and loss functions
- Utilizing pretrained models from PyTorch Hub
- Exploring code samples in Jupyter Notebooks
About the audience
For Python programmers with an interest in machine learning
About the authors
Eli Stevens had roles from software engineer to CTO and is currently working on machine learning in the self-driving-car industry. Luca Antiga is cofounder of an AI engineering company as well as a former PyTorch contributor. Thomas Viehmann is a PyTorch core developer and machine learning trainer and consultant.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2020 Manning Publications (P)2021 Manning PublicationsLos oyentes también disfrutaron...
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General4 out of 5 stars 16
-
Narración:4.5 out of 5 stars 14
-
Historia4.5 out of 5 stars 14
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
1 out of 5 stars
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- De: Konrad Banachewicz, Luca Massaron
- Narrado por: Alex Freeman
- Duración: 12 h y 29 m
- Versión completa
-
General4 out of 5 stars 8
-
Narración:4 out of 5 stars 6
-
Historia4.5 out of 5 stars 6
Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.
-
1 out of 5 stars
-
Absolutely disastrous
- De D B B en 05-16-24
De: Konrad Banachewicz, y otros
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General4.5 out of 5 stars 25
-
Narración:4.5 out of 5 stars 19
-
Historia4.5 out of 5 stars 19
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
5 out of 5 stars
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- De: Hobson Lane, Hannes Hapke, Cole Howard
- Narrado por: Mark Thomas
- Duración: 18 h y 29 m
- Versión completa
-
General4 out of 5 stars 11
-
Narración:4 out of 5 stars 9
-
Historia4 out of 5 stars 8
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
-
1 out of 5 stars
-
Don't Waste Your Money on the Audio Version
- De wayne kurtz en 12-11-23
De: Hobson Lane, y otros
-
Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
- Versión completa
-
General4.5 out of 5 stars 50
-
Narración:5 out of 5 stars 44
-
Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
-
4 out of 5 stars
-
Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
-
GANs in Action
- Deep Learning with Generative Adversarial Networks
- De: Jakub Langr, Vladimir Bok
- Narrado por: Julie Brierley
- Duración: 6 h y 23 m
- Versión completa
-
General4.5 out of 5 stars 3
-
Narración:4.5 out of 5 stars 3
-
Historia5 out of 5 stars 3
GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
De: Jakub Langr, y otros
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General4 out of 5 stars 16
-
Narración:4.5 out of 5 stars 14
-
Historia4.5 out of 5 stars 14
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
1 out of 5 stars
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- De: Konrad Banachewicz, Luca Massaron
- Narrado por: Alex Freeman
- Duración: 12 h y 29 m
- Versión completa
-
General4 out of 5 stars 8
-
Narración:4 out of 5 stars 6
-
Historia4.5 out of 5 stars 6
Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.
-
1 out of 5 stars
-
Absolutely disastrous
- De D B B en 05-16-24
De: Konrad Banachewicz, y otros
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General4.5 out of 5 stars 25
-
Narración:4.5 out of 5 stars 19
-
Historia4.5 out of 5 stars 19
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
5 out of 5 stars
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- De: Hobson Lane, Hannes Hapke, Cole Howard
- Narrado por: Mark Thomas
- Duración: 18 h y 29 m
- Versión completa
-
General4 out of 5 stars 11
-
Narración:4 out of 5 stars 9
-
Historia4 out of 5 stars 8
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
-
1 out of 5 stars
-
Don't Waste Your Money on the Audio Version
- De wayne kurtz en 12-11-23
De: Hobson Lane, y otros
-
Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
- Versión completa
-
General4.5 out of 5 stars 50
-
Narración:5 out of 5 stars 44
-
Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
-
4 out of 5 stars
-
Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
-
GANs in Action
- Deep Learning with Generative Adversarial Networks
- De: Jakub Langr, Vladimir Bok
- Narrado por: Julie Brierley
- Duración: 6 h y 23 m
- Versión completa
-
General4.5 out of 5 stars 3
-
Narración:4.5 out of 5 stars 3
-
Historia5 out of 5 stars 3
GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
De: Jakub Langr, y otros
-
Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
- Versión completa
-
General4 out of 5 stars 12
-
Narración:4 out of 5 stars 9
-
Historia4 out of 5 stars 9
As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
-
5 out of 5 stars
-
Wonderful audio textbook!
- De Howard_a en 11-02-21
-
Modern Software Engineering
- Doing What Works to Build Better Software Faster
- De: David Farley
- Narrado por: Amy Gordon
- Duración: 9 h y 37 m
- Versión completa
-
General4.5 out of 5 stars 113
-
Narración:4.5 out of 5 stars 92
-
Historia4.5 out of 5 stars 92
In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
-
3 out of 5 stars
-
Could have been a 1-page bulleted list
- De Elle7se en 12-30-22
De: David Farley
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
-
General5 out of 5 stars 450
-
Narración:5 out of 5 stars 328
-
Historia5 out of 5 stars 324
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
-
5 out of 5 stars
-
Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
-
The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- De: David Thomas, Andrew Hunt
- Narrado por: Anna Katarina
- Duración: 9 h y 55 m
- Versión completa
-
General4.5 out of 5 stars 1,581
-
Narración:5 out of 5 stars 1,281
-
Historia4.5 out of 5 stars 1,263
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
-
5 out of 5 stars
-
An excellent and entertaining technical book
- De Amazon Customer en 01-21-20
De: David Thomas, y otros
-
Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
-
General5 out of 5 stars 2
-
Narración:5 out of 5 stars 2
-
Historia4.5 out of 5 stars 2
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
-
5 out of 5 stars
-
Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
-
The Alignment Problem
- Machine Learning and Human Values
- De: Brian Christian
- Narrado por: Brian Christian
- Duración: 13 h y 33 m
- Versión completa
-
General4.5 out of 5 stars 874
-
Narración:4.5 out of 5 stars 712
-
Historia4.5 out of 5 stars 707
Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.
-
5 out of 5 stars
-
Required reading for any AI course
- De ehan ferguson en 11-16-20
De: Brian Christian
-
Clean Code
- A Handbook of Agile Software Craftsmanship
- De: Robert C. Martin
- Narrado por: Theodore O'Brien
- Duración: 5 h y 49 m
- Versión completa
-
General4.5 out of 5 stars 319
-
Narración:5 out of 5 stars 232
-
Historia4.5 out of 5 stars 228
Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.
-
3 out of 5 stars
-
Quick fix needed
- De R L en 05-06-21
De: Robert C. Martin
-
Machine Learning
- A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine Learning
- De: Peter Bradley
- Narrado por: Cliff Weldon
- Duración: 3 h y 10 m
- Versión completa
-
General5 out of 5 stars 10
-
Narración:5 out of 5 stars 10
-
Historia5 out of 5 stars 10
Do you have a clear understanding of the different types of machine learning algorithms? Do you know what a neural network is and how you can build it? If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.
-
5 out of 5 stars
-
Machine learning
- De Umar Khan en 02-21-19
De: Peter Bradley
-
The Clean Coder
- A Code of Conduct for Professional Programmers
- De: Robert C. Martin
- Narrado por: Theodore O'Brien
- Duración: 6 h y 12 m
- Versión completa
-
General4.5 out of 5 stars 214
-
Narración:5 out of 5 stars 164
-
Historia4.5 out of 5 stars 161
Great software is something to marvel at: powerful, elegant, functional, a pleasure to work with as both a developer and as a user. Great software isn’t written by machines. It is written by professionals with an unshakable commitment to craftsmanship. The Clean Coder will help you become one of them - and earn the pride and fulfillment that they alone possess.
-
5 out of 5 stars
-
The best one
- De Amazon Customer en 01-10-22
De: Robert C. Martin
-
Rust in Action
- De: Tim McNamara
- Narrado por: Derek Dysart
- Duración: 10 h y 23 m
- Versión completa
-
General4.5 out of 5 stars 6
-
Narración:4.5 out of 5 stars 4
-
Historia4 out of 5 stars 4
Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques. You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code.
-
5 out of 5 stars
-
very good rust audiobook
- De Amazon Customer en 01-18-23
De: Tim McNamara
-
Python for Beginners
- The Ultimate Guide to Learn Python, the Secrets of Machine Language Learning, Data Science Analysis and Data Analytics, Coding Language for Beginners.
- De: Anthony Hack
- Narrado por: Jordan Gunner
- Duración: 4 h y 33 m
- Versión completa
-
General5 out of 5 stars 1
-
Narración:5 out of 5 stars 1
-
Historia5 out of 5 stars 1
There are a lot of benefits to making sure that your network is always safe and secure. And working with the Python language is one of the best ways for you to make sure that we are able to work with some of our own attacks and penetration testing to keep that network safe. Even if you have never worked on hacking in the past, this audiobook is going to give you some of the steps and tips that we need to see the best results with hacking, overall.
-
5 out of 5 stars
-
An inspiring and valuable resource included into
- De Bart Green en 04-09-20
De: Anthony Hack
-
Python for Data Science
- The Ultimate Guide for Beginners. Machine Learning Tools, Concepts and Introduction. Python Programming Crash Course.
- De: Tony F. Charles
- Narrado por: Russell Newton
- Duración: 3 h y 1 m
- Versión completa
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
Historia0 out of 5 stars 0
Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.
De: Tony F. Charles
Las personas que vieron esto también vieron...
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General4 out of 5 stars 16
-
Narración:4.5 out of 5 stars 14
-
Historia4.5 out of 5 stars 14
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
1 out of 5 stars
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
- Versión completa
-
General4.5 out of 5 stars 50
-
Narración:5 out of 5 stars 44
-
Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
-
4 out of 5 stars
-
Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
-
Build a Large Language Model (From Scratch)
- De: Sebastian Raschka
- Narrado por: Julie Brierley
- Duración: 7 h y 40 m
- Versión completa
-
General3 out of 5 stars 5
-
Narración:2 out of 5 stars 4
-
Historia2 out of 5 stars 4
In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
-
3 out of 5 stars
-
Hard to follow when every other sentence “see code”. Some books don’t convey well in audio
- De Michael Little en 03-13-25
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General4.5 out of 5 stars 25
-
Narración:4.5 out of 5 stars 19
-
Historia4.5 out of 5 stars 19
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
5 out of 5 stars
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Deep Learning
- MIT Press Essential Knowledge Series
- De: John D. Kelleher
- Narrado por: Joel Richards
- Duración: 5 h y 49 m
- Versión completa
-
General4 out of 5 stars 21
-
Narración:4 out of 5 stars 17
-
Historia4.5 out of 5 stars 17
In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
-
1 out of 5 stars
-
Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
-
Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- De: Bill Lubanovic
- Narrado por: Derek Dysart
- Duración: 13 h y 3 m
- Versión completa
-
General5 out of 5 stars 6
-
Narración:5 out of 5 stars 3
-
Historia5 out of 5 stars 3
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
-
5 out of 5 stars
-
Exactly what I wanted and expected.
- De ridgeway137 en 03-05-24
De: Bill Lubanovic
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General4 out of 5 stars 16
-
Narración:4.5 out of 5 stars 14
-
Historia4.5 out of 5 stars 14
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
1 out of 5 stars
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
- Versión completa
-
General4.5 out of 5 stars 50
-
Narración:5 out of 5 stars 44
-
Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
-
4 out of 5 stars
-
Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
-
Build a Large Language Model (From Scratch)
- De: Sebastian Raschka
- Narrado por: Julie Brierley
- Duración: 7 h y 40 m
- Versión completa
-
General3 out of 5 stars 5
-
Narración:2 out of 5 stars 4
-
Historia2 out of 5 stars 4
In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
-
3 out of 5 stars
-
Hard to follow when every other sentence “see code”. Some books don’t convey well in audio
- De Michael Little en 03-13-25
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General4.5 out of 5 stars 25
-
Narración:4.5 out of 5 stars 19
-
Historia4.5 out of 5 stars 19
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
5 out of 5 stars
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Deep Learning
- MIT Press Essential Knowledge Series
- De: John D. Kelleher
- Narrado por: Joel Richards
- Duración: 5 h y 49 m
- Versión completa
-
General4 out of 5 stars 21
-
Narración:4 out of 5 stars 17
-
Historia4.5 out of 5 stars 17
In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
-
1 out of 5 stars
-
Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
-
Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- De: Bill Lubanovic
- Narrado por: Derek Dysart
- Duración: 13 h y 3 m
- Versión completa
-
General5 out of 5 stars 6
-
Narración:5 out of 5 stars 3
-
Historia5 out of 5 stars 3
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
-
5 out of 5 stars
-
Exactly what I wanted and expected.
- De ridgeway137 en 03-05-24
De: Bill Lubanovic
-
Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- De: Neal Ford, Mark Richards, Pramod Sadalage, y otros
- Narrado por: Dena Dahilig
- Duración: 12 h y 53 m
- Versión completa
-
General4 out of 5 stars 17
-
Narración:4.5 out of 5 stars 14
-
Historia4 out of 5 stars 14
There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
-
3 out of 5 stars
-
Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
-
Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- De: Susan Shu Chang
- Narrado por: Xifeng Brooks
- Duración: 9 h y 39 m
- Versión completa
-
General5 out of 5 stars 1
-
Narración:5 out of 5 stars 1
-
Historia5 out of 5 stars 1
As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
-
5 out of 5 stars
-
Great advice, and read well.
- De Goodmann en 01-26-25
De: Susan Shu Chang
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
-
General5 out of 5 stars 450
-
Narración:5 out of 5 stars 328
-
Historia5 out of 5 stars 324
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
-
5 out of 5 stars
-
Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
-
Time Series Forecasting in Python
- De: Marco Peixeiro
- Narrado por: Adam Newmark
- Duración: 10 h y 54 m
- Versión completa
-
General1 out of 5 stars 1
-
Narración:2 out of 5 stars 1
-
Historia1 out of 5 stars 1
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
-
1 out of 5 stars
-
Not meant to be an audiobook
- De juliamc en 12-12-23
De: Marco Peixeiro
-
Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
-
General5 out of 5 stars 2
-
Narración:5 out of 5 stars 2
-
Historia4.5 out of 5 stars 2
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
-
5 out of 5 stars
-
Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
-
Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
-
General5 out of 5 stars 104
-
Narración:5 out of 5 stars 82
-
Historia4.5 out of 5 stars 81
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
-
5 out of 5 stars
-
Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General4.5 out of 5 stars 38
-
Narración:4.5 out of 5 stars 33
-
Historia4.5 out of 5 stars 33
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
5 out of 5 stars
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
-
General4.5 out of 5 stars 129
-
Narración:4.5 out of 5 stars 105
-
Historia4 out of 5 stars 103
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
-
1 out of 5 stars
-
the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
-
Neural Networks for Beginners
- An Easy Textbook for Machine Learning Fundamentals to Guide You Implementing Neural Networks with Python and Deep Learning (Artificial Intelligence)
- De: Russel R. Russo
- Narrado por: Zachary Zaba
- Duración: 3 h y 6 m
- Versión completa
-
General4 out of 5 stars 43
-
Narración:4 out of 5 stars 40
-
Historia4 out of 5 stars 40
Either if you want to start your own AI enterprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and neural networks programming is the skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way.
-
1 out of 5 stars
-
Horrible, a waste of money
- De Paul_Seattle en 04-06-21
De: Russel R. Russo
-
Grokking Machine Learning
- De: Luis Serrano
- Narrado por: Marianne Sheehan
- Duración: 15 h y 1 m
- Versión completa
-
General2 out of 5 stars 2
-
Narración:2 out of 5 stars 2
-
Historia2 out of 5 stars 2
Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.
-
1 out of 5 stars
-
Bad as an audiobook
- De Amazon Customer en 04-05-24
De: Luis Serrano
-
Deep Learning Patterns and Practices
- De: Andrew Ferlitsch
- Narrado por: Mark Thomas
- Duración: 13 h y 45 m
- Versión completa
-
General0 out of 5 stars 0
-
Narración:0 out of 5 stars 0
-
Historia0 out of 5 stars 0
Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.
De: Andrew Ferlitsch
-
Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
-
General4.5 out of 5 stars 269
-
Narración:5 out of 5 stars 222
-
Historia4.5 out of 5 stars 219
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
-
5 out of 5 stars
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
Lo que los oyentes dicen sobre Deep Learning with PyTorch
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
-
Total1 out of 5 stars
-
Ejecución3 out of 5 stars
-
Historia1 out of 5 stars
- Actionwatcher
- 08-15-23
Absolutely not suitable for audio
Audio version is not suitable for textbooks like this. The printed version of the book heavily relies on pictures, and code, which completely omitted in the audio version.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
esto le resultó útil a 2 personas
-
Total1 out of 5 stars
-
Ejecución5 out of 5 stars
-
Historia1 out of 5 stars
- Amazon Customer
- 02-12-25
the nightmare
this book was written 5 years ago when data science and even python were much less mature, so it is understandable that what is described is profoundly immature. but even bearing that in mind, the narrative is so chaotic and so obscuring of the state of disarray described that the overall proliferation of project destroying red flags is overwhelming. I am curious if morbidly about later books written by the same authors. there is potentially potential for the author's to write a readable book that is coherent, but this book is terrifying.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña