Machine Learning with TensorFlow [Video]

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Machine Learning with TensorFlow [Video]

Shams Ul Azeem

Tackle common machine learning problems with Google’s TensorFlow library and build deployable solutions
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Video Details

ISBN 139781786466440
Course Length1 hour and 14 minutes

Video Description

TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

This video addresses common commercial machine learning problems using Google’s TensorFlow library. It will not only help you discover what TensorFlow is and how to use it, but will also show you the unbelievable things that can be done in machine learning with the help of examples/real-world use cases. We start off with the basic installation of Tensorflow, moving on to covering the unique features of the library such as Data Flow Graphs, training, and visualization of performance with TensorBoard—all within an example-rich context using problems from multiple sources.. The focus is on introducing new concepts through problems that are coded and solved over the course of each section.

Style and Approach

This video is a clear, step-by-step demonstration, enabling you to understand the new heights in machine learning and will empower you to implement it in your environment.

Table of Contents

Getting Started
The Course Overview
Introducing Deep Learning
Installation on Mac OSX
Installation on Windows – Pre-Requisite Virtual Machine Setup
Installation on Windows/Linux
Your First Classifier
The Hand-Written Letters Dataset
Automating Data Preparation
Understanding Matrix Conversions
The Machine Learning Life Cycle
Reviewing Outputs and Results
The TensorFlow Toolbox
Getting Started with TensorBoard
TensorBoard Events and Histograms
The Graph Explorer
Our Previous Project on TensorBoard
Cats and Dogs – Convolutional Neural Networks
Fully Connected Neural Networks
Convolutional Neural Networks
Programming a CNN
Using TensorBoard on Our CNN
CNN Versus Fully Connected Network Performance

What You Will Learn

  • Set up basic and advanced TensorFlow installations
  • Deep dive into training, validating, and monitoring training performance
  • Set up and run cross-sectional examples using images
  • Create pipelines to deal with real-world input data
  • Be empowered to go from concept to a production-ready machine learning setup/pipeline capable of real-world usage

Authors

Table of Contents

Getting Started
The Course Overview
Introducing Deep Learning
Installation on Mac OSX
Installation on Windows – Pre-Requisite Virtual Machine Setup
Installation on Windows/Linux
Your First Classifier
The Hand-Written Letters Dataset
Automating Data Preparation
Understanding Matrix Conversions
The Machine Learning Life Cycle
Reviewing Outputs and Results
The TensorFlow Toolbox
Getting Started with TensorBoard
TensorBoard Events and Histograms
The Graph Explorer
Our Previous Project on TensorBoard
Cats and Dogs – Convolutional Neural Networks
Fully Connected Neural Networks
Convolutional Neural Networks
Programming a CNN
Using TensorBoard on Our CNN
CNN Versus Fully Connected Network Performance

Video Details

ISBN 139781786466440
Course Length1 hour and 14 minutes
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