Book

Recurrent Neural Networks with Python Quick Start Guide

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 the 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.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
4h4m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 4h4m total length

1. Introducing Recurrent Neural Networks
2. Building Your First RNN with TensorFlow
3. Generating Your Own Book Chapter
4. Creating a Spanish-to-English Translator
5. Build Your Personal Assistant
6. Improve Your RNN Performance

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