Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API
Antonio Gulli, Amita Kapoor, Sujit Pal
Updated on Sep, 2020
Programming, Data Science, Python
Formats : PDF, EPUB, MOBI (Downlodable)
ISBN : 9781838827724
Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices
Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.
TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before.
This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML.
This book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow 2, and AutoML to build machine learning systems. Some knowledge of machine learning is expected.
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