Machine Learning with TensorFlow
- 3h 34m
- Nishant Shukla
- Manning Publications
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
A Machine-Learning Odyssey
Linear Regression and Beyond
A Gentle Introduction to Classification
Automatically Clustering Data
Hidden Markov Models
A Peek into Autoencoders
Convolutional Neural Networks
Recurrent Neural Networks
Sequence-to-Sequence Models for Chatbots