Hands-On Deep Learning Architectures with Python:
Create deep neural networks to solve computational problems using TensorFlow and Keras
by Yuxi (Hayden) Liu

English | 2019 | ISBN: 9781788998086 | 303 Pages | EPUB | 23 MB
Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures. You will understand various deep learning architectures (such as AlexNet, VGG Net, GoogleNet) with easy-to-follow code and diagrams. In addition to this, the book will also guide you in building and training various deep architectures such as the Boltzmann mechanism, autoencoders, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), GAN, and more-all with practical implementations.

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