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 3
Application of Deep Learning to AI Problems
Content Locked
Section 4
Sequence to Sequence Models
Introduce the idea of sequence to sequence models and explain at a high level how to implement one of such models for language translation. - Introduce sequence to sequence models - Explain the encoder – decoder setup - Explain the different processes of training the model and getting inferences