Mattmann C. Machine Learning with TensorFlow (MEAP Version 7)

2nd Edition. — Manning Publications, 2020. — 471 p. — ISBN: 9781617297717.This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning, and how to utilize the TensorFlow library to rapidly build powerful ML models. You'll learn the basics of regression, classification, and clustering algorithms, applying them to solve real-world challenges such as call center volume prediction and sentiment analysis of movie reviews. Once you’ve mastered core ML concepts, you'll move on to the money chapters: exploring cutting-edge neural network techniques such as deep speech classifiers, facial identification, and auto-encoding with CIFAR-10. Plus, in all-new appendices you'll cover updating your code to TensorFlow 2.0, and much-needed techniques for running your code inside Docker containers. Digest this book, and you'll be able to start modeling your everyday problems as automated machine learning tasks.Your Machine-Learning Rig
A machine-learning odyssey
TensorFlow essentials
Core Learning Algorithms
Linear regression and beyond
Using regression for call center volume prediction
A gentle introduction to classification
Sentiment classification: Netflix large movie-review dataset
Automatically clustering data
Inferring user activity from Android accelerometer data
Hidden Markov models
Part of speech tagging and word sense disambiguation
The Neural Network Paradigm
A peek into autoencoders
Applying autoencoders: the CIFAR-10 image dataset
Reinforcement learning
Convolutional neural networks
Building a real-world CNN: VGG-Face and VGG-Face Lite
Recurrent neural networks
LSTMs and automatic speech recognition
Sequence-to-sequence models for chatbots
Utility landscapeInstallation instructions