What to read after Deep Learning with Keras?

Deep Learning with Keras

This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition and much more.

Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio.

The book will definitely be your best companion on this great deep learning journey with Keras introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks.

Here Is a Preview of What You’ll Learn Here…

The difference between deep learning and machine learning

Deep neural networks

Convolutional neural networks

Building deep learning models with Keras

Multi-layer perceptron network models

Activation functions

Handwritten recognition using MNIST

Solving multi-class classification problems

Recurrent neural networks and sequence classification

And much more...

Get this book NOW and learn more about Deep Learning with Keras!