Deep Learning for Beginners with Tensorflow: The Basics

Smart, Mark

ISBN 10: 1723338494 / ISBN 13: 9781723338496

Edité par CreateSpace Independent Publishing Platform, 2018

A propos de cet article

N° de réf. du vendeur 34154409-n

Détails bibliographiques

• Titre: Deep Learning for Beginners with Tensorflow: The Basics
• Éditeur: CreateSpace Independent Publishing Platform
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 1723338494
• ISBN à 13 chiffres: 9781723338496
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

This book is an exploration of deep learning in Python using TensorFlow. The author guides you on how to create machine learning models using TensorFlow. You will know the initial steps of getting started with TensorFlow in Python. This involves installing TensorFlow and writing your first code. TensorFlow works using the concept of graphs. The author helps you know how expressions are represented into graphs in TensorFlow. Deep learning in Python with TensorFlow simply involves the creation of neural network models. The author helps you understand how to create neural network models with TensorFlow. You are guided on how to train such models with data of various types. Examples of such data include images and text. The process of loading your own data into TensorFlow for training neural network models has also been discussed. You will also know how to use the inbuilt data for training your neural network models.

Présentation de l'éditeur

This book is an exploration of deep learning in Python using TensorFlow. The author guides you on how to create machine learning models using TensorFlow. You will know the initial steps of getting started with TensorFlow in Python. This involves installing TensorFlow and writing your first code. TensorFlow works using the concept of graphs. The author helps you know how expressions are represented into graphs in TensorFlow. Deep learning in Python with TensorFlow simply involves the creation of neural network models. The author helps you understand how to create neural network models with TensorFlow. You are guided on how to train such models with data of various types. Examples of such data include images and text. The process of loading your own data into TensorFlow for training neural network models has also been discussed. You will also know how to use the inbuilt data for training your neural network models.

You will learn from this book:

• Getting started
• Building a Neural Network
• Working with Images
• Importing Data

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