Keras Deep Learning Cookbook: Over 30 recipes for implementing deep neural networks in Python
by Rajdeep Dua
Over 30 recipes for implementing deep neural networks in Python
by Rajdeep Dua [/b]
English | 2018 | ISBN: 1788621751 | 252 Pages | EPUB | 6.25 MB
The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. From loading data to fitting and evaluating your model for optimal performance, you will work through a step-by-step process to tackle every possible problem faced while training deep models. You will implement convolutional and recurrent neural networks, adversarial networks, and more with the help of this handy guide. In addition to this, you will learn how to train these models for real-world image and language processing tasks.
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