TensorFlow Machine Learning Cookbook
This book will help you overcome any problem you might come across while training and deploying machine learning models using the recently released Tensorflow. This book includes recipes on important machine learning concepts such as supervised and unsupervised learning, as well as neural networks and their real-world applications.
Offered by
Difficulty Level
Intermediate
Completion Time
14h4m
Language
English
About Book
Who Is This Book For?
If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading pages and pages of material, this book is for you. Some background in Python programming is assumed.
TensorFlow Machine Learning Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h4m total length
Getting Started with TensorFlow
The TensorFlow Way
Linear Regression
Support Vector Machines
Nearest Neighbor Methods
Neural Networks
Natural Language Processing
Convolutional Neural Networks
Recurrent Neural Networks
Taking TensorFlow to Production
More with TensorFlow
Related Resources
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