Read TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code

TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code

Ahmed Fawzy Gad

4.9/5 (25172 ratings)

Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code. To get started finding TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 96

Format: PDF, EPUB & Kindle Edition

Publisher: LAP LAMBERT Academic Publishing

Release: 2017

ISBN: 6202073128

Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code. To get started finding TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code

TensorFlow: A Guide to Build Artificial Neural Networks using Python: Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code

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