Hands-on deep learning algorithms with Python : master deep learning algorithms with extensive math by implementing them using TensorFlow / Sudharsan Ravichandiran

Includes bibliographical references and index

Introduction to Deep Learning.--Getting to know Tensorflow.--Gradient Descent and its variants.--Generating song lyrics using RNN.--Improvements to the RNN.--Demystifying Convolutional networks.--Representation learning using word embeddings.--Generative adversarial networks.--More About GANsAutoencoders.--Few shot learnings.

This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.