| Description |
1 online resource (1 sound file (15 hr.)) |
| Playing Time |
150000 |
| Description |
digital rdatr |
|
audio file rdaft |
| Performer |
Read by Derek Dysart. |
| Summary |
Chollet is a master of pedagogy and explains complex concepts with minimal fuss, cutting through the math with practical Python code. He is also an experienced ML researcher and his insights on various model architectures or training tips are a joy to read. Martin Görner, Google Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world. In Deep Learning with Python, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Timeseries forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You'll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. about the technology Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach--even if you have no background in mathematics or data science. This book shows you how to get started. about the book 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, crisp illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications. about the audience For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the author François Chollet is a software engineer at Google and creator of the Keras deep-learning library. Immerse yourself into this exciting introduction to the topic with lots of real-world examples. A must-read for every deep learning practitioner. Sayak Paul, Carted The modern classic just got better. Edmon Begoli, Oak Ridge National Laboratory Truly the bible of deep learning. |
| Subject |
Python (Computer program language)
|
|
Machine learning.
|
|
Neural networks (Computer science)
|
|
Neural Networks, Computer |
|
Machine Learning |
|
Python (Langage de programmation) |
|
Apprentissage automatique. |
|
Réseaux neuronaux (Informatique) |
|
Machine learning |
|
Neural networks (Computer science) |
|
Python (Computer program language) |
| Genre |
Downloadable audio books. |
|
Audiobooks
|
|
Audiobooks.
|
|
Livres audio.
|
| Added Author |
Dysart, Derek, narrator.
|
| Standard No. |
9781617296864AU (electronic audio bk.) |
|
More Resources