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Introduction to CNTK Succinctly

by James McCaffrey

Introduction to CNTK Succinctly

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Book Description

Microsoft CNTK (Cognitive Toolkit, formerly Computational Network Toolkit), an open source code framework, enables you to create feed-forward neural network time series prediction systems, convolutional neural network image classifiers, and other deep learning systems. In Introduction to CNTK Succinctly, author James McCaffrey offers instruction on the basics of installing and running CNTK, and also addresses machine-learning regression and classification techniques. Exercises and explanations are included in each chapter.

This open book is licensed strictly for personal or educational use. You can download Introduction to CNTK Succinctly ebook for free in PDF format (3.0 MB).

Table of Contents

Chapter 1
Getting Started
Chapter 2
Logistic Regression
Chapter 3
Fundamental Concepts
Chapter 4
Neural Network Classifications
Chapter 5
Neural Binary Classification
Chapter 6
Neural Network Regression
Chapter 7
LSTM Time Series Regression

Book Details

Title
Introduction to CNTK Succinctly
Subject
Computer Science
Publisher
Syncfusion
Published
2018
Pages
124
Edition
1
Language
English
PDF Size
3.0 MB
License
For personal or educational use

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