Book Image

TensorFlow 1.x Deep Learning Recipes for Artificial Intelligence Applications [Video]

By : Alvaro Fuentes
Book Image

TensorFlow 1.x Deep Learning Recipes for Artificial Intelligence Applications [Video]

By: Alvaro Fuentes

Overview of this book

This course is all about some of the most exciting applications of Deep Learning and how to implement them in TensorFlow. You will learn how to build models to solve problems in different domains such as Computer vision, Natural Language Processing, Reinforcement Learning, Finance, and more. Taking a Cookbook approach, this course presents you with easy-to-follow recipes to show the use of advanced Deep Learning techniques and their implementation in TensorFlow. After taking this tutorial you will be able to start building advanced Deep Learning models with TensorFlow for applications with a wide range of fields. All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/-TensorFlow-1.X-Deep-Learning-Recipes-for-Artificial-Intelligence-Applications-v-
Table of Contents (4 chapters)
Chapter 2
Applications of Recurrent Neural Networks
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Section 1
The Intuition Behind RNNs
Explain the main ideas related to RNNs and why they are the main deep learning models to learn from sequences. - Explain what is a sequence and the different cases of models with sequences - Explain at high level what is a RNN - Present the code for building a toy RNN