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Applied Deep Learning with TensorFlow 2 - Learn to Implement Advanced Deep Learning Techniques with Python (Paperback, 2nd ed.)
Loot Price: R1,412
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Applied Deep Learning with TensorFlow 2 - Learn to Implement Advanced Deep Learning Techniques with Python (Paperback, 2nd ed.)
Expected to ship within 10 - 15 working days
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Understand how neural networks work and learn how to implement them
using TensorFlow 2.0 and Keras. This new edition focuses on the
fundamental concepts and at the same time on practical aspects of
implementing neural networks and deep learning for your research
projects. This book is designed so that you can focus on the parts
you are interested in. You will explore topics as regularization,
optimizers, optimization, metric analysis, and hyper-parameter
tuning. In addition, you will learn the fundamentals ideas behind
autoencoders and generative adversarial networks. All the code
presented in the book will be available in the form of Jupyter
notebooks which would allow you to try out all examples and extend
them in interesting ways. A companion online book is available with
the complete code for all examples discussed in the book and
additional material more related to TensorFlow and Keras. All the
code will be available in Jupyter notebook format and can be opened
directly in Google Colab (no need to install anything locally) or
downloaded on your own machine and tested locally. You will: *
Understand the fundamental concepts of how neural networks work *
Learn the fundamental ideas behind autoencoders and generative
adversarial networks * Be able to try all the examples with
complete code examples that you can expand for your own projects *
Have available a complete online companion book with examples and
tutorials. This book is for: Readers with an intermediate
understanding of machine learning, linear algebra, calculus, and
basic Python programming.
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