Author
Rodolfo Bonnin
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Safis Editing
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Reviewer
Niko Gamulin
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Veena Pagare
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Building Machine Learning Projects with TensorFlow
By :
Building Machine Learning Projects with TensorFlow
By:
Overview of this book
<p>This book of projects highlights how TensorFlow can be used in different scenarios - this includes projects for training models, machine learning, deep learning, and working with various neural networks. Each project provides exciting and insightful exercises that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors. Simply pick a project that is in line with your environment and get stacks of information on how to implement TensorFlow in production.</p>
Table of Contents (16 chapters)
Building Machine Learning Projects with TensorFlow
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Exploring and Transforming Data
Clustering
Linear Regression
Logistic Regression
Simple FeedForward Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks and LSTM
Deep Neural Networks
Running Models at Scale – GPU and Serving
Library Installation and Additional Tips
Customer Reviews