Machine Learning with TensorFlow
- 3h 34m
- Nishant Shukla
- Manning Publications
- 2018
Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python.
About the Technology
TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.
About the Book
Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic prediction, classification, and clustering algorithms. Then, you'll move on to the money chapters: exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning. Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own.
About the Author
Author Nishant Shukla is a computer vision researcher focused on applying machine-learning techniques in robotics.
In this Book
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A Machine-Learning Odyssey
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TensorFlow Essentials
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Linear Regression and Beyond
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A Gentle Introduction to Classification
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Automatically Clustering Data
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Hidden Markov Models
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A Peek into Autoencoders
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Reinforcement Learning
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Convolutional Neural Networks
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Recurrent Neural Networks
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Sequence-to-Sequence Models for Chatbots
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Utility Landscape
