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 2
Time Series Forecasting with RNN
Provide an example of building a RNN using the BasicRNNcell to predict a time series. - Present the BasicRNNcell class - Present the problem and explain the dataset - Explain the code and implementation of the RNN for predicting a time series