Kostadinov S. Recurrent Neural Networks with Python...Guide 2018

Textbook in PDF format

Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular TensorFlow framework.
Key Features
Train and deploy Recurrent Neural Networks using the popular TensorFlow library
Apply long short-term memory units
Expand your skills in complex neural network and deep learning topics
Developers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network (RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve results. This book will teach you the fundamentals of RNNs, with example applications in Python and the TensorFlow library. The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling