Book Image

TensorFlow for Machine Learning Solutions [Video]

By : Nick McClure
Book Image

TensorFlow for Machine Learning Solutions [Video]

By: Nick McClure

Overview of this book

<p>TensorFlow is an open source software library for Machine Intelligence. The independent solutions in this video course will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You’ll work through solutions on training models, model evaluation and sentiment analysis – each using Google’s machine learning library TensorFlow.This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow</p> <h1>Style and Approach</h1> <p>This video course takes a solution-based approach where every topic is explicated with the help of a real-world example.</p>
Table of Contents (5 chapters)
Chapter 3
Linear Regression
Content Locked
Section 2
Implementing a Decomposition Method
For this video, we will implement a matrix decomposition method for linear regression. Specifically we will use the Cholesky decomposition, for which relevant functions exist in TensorFlow. - Implement a matrix decomposition method for linear regression - Use the Cholesky decomposition