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 1
Convolutional Neural Networks for Computer Vision
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Section 2
Installation and Setup
Show to the viewer the computational environment that we are going to use (Anaconda) and how to install TensorFlow-GPU version. - Explain what is the Anaconda Distribution and the problem it solves. Create a new virtual environment - Explain the necessary software for installing the GPU version of TensorFlow - Install TensorFlow-GPU and test the installation