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TensorFlow: A Guide to Build Artificial Neural Networks using Python

Name: TensorFlow: A Guide to Build Artificial Neural Networks using Python
Brand: LAP Lambert Academic Publishing
SKU: 18738164
Price: 46.84 EUR
Availability: InStock
Author: Ahmed F. Gad
ISBN: 9786202073127

Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code

Ahmed F. Gad

Language

English

Book Paperback

Libristo code: 18738164

Publishers LAP Lambert Academic Publishing, November 2016

This guide assumes you know nothing about TensorFlow and takes you from the beginning until understa... Full description

Libristo code: 18738164

114 b

46.84 €

91.62 лв

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This guide assumes you know nothing about TensorFlow and takes you from the beginning until understanding the basics of a TensorFlow program including Variables, Placeholders, dataflow graphs, TensorFlow Core API, and TensorBoard for visualization. Because artificial neural networks (ANNs) are in the heart of deep learning models, it is recommended to start learning how they work and implemented programmatically. This guide covers in details all steps required for creating your first ANN using TensorFlow starting by reading input data then building neural networks layers (input, hidden, output) and finally making predictions. This guide helps you how neural networks parameters (e.g. weights) are updated by tracing the dataflow graph. Because the traditional way of reading data using placeholders is not appropriate for large datasets, pandas Series and DataFrame are discussed by understanding the different ways they are created. This is in addition to indexing, updating, deleting items. In addition to TensorFlow Core API, some higher level APIs are discussed including TensorFlow Estimators and train for saving time wasted by implementing some of the frequently used operations.

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About the book

Full name TensorFlow: A Guide to Build Artificial Neural Networks using Python

Author Ahmed F. Gad

Language

English

Binding Book - Paperback

Date of issue 2017

Number of pages 96

EAN 9786202073127

Libristo code 18738164

Publishers LAP Lambert Academic Publishing

Weight 162

Dimensions 150 x 220 x 6

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