Machine Learning with TensorFlow - Softcover

Inhaltsangabe

Summary

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.

What's Inside

• Matching your tasks to the right machine-learning and deep-learning approaches
• Visualizing algorithms with TensorBoard
• Understanding and using neural networks

PART 1 - YOUR MACHINE-LEARNING RIG
1. A machine-learning odyssey
2. TensorFlow essentials
PART 2 - CORE LEARNING ALGORITHMS
3. Linear regression and beyond
4. A gentle introduction to classification
5. Automatically clustering data
6. Hidden Markov models
PART 3 - THE NEURAL NETWORK PARADIGM
7. A peek into autoencoders
8. Reinforcement learning
9. Convolutional neural networks
10. Recurrent neural networks
11. Sequence-to-sequence models for chatbots
12. Utility landscape

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