August 2027
Intermediate
400 pages
1h 42m
English
Content preview from Rust for Machine Learning
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Brief Table of Contents (Not Yet Final)
Preface (unavailable)
Introduction: Programs that Learn (available)
Chapter 1: The First Neuron (available)
Chapter 2: The Search for Structure (available)
Chapter 3: A Framework for Learning (unavailable)
Chapter 4: Building the Toolkit (unavailable)
Chapter 5: Representations by Hand (unavailable)
Chapter 6: From Hard Decisions to Probabilities (unavailable)
Chapter 7: Optimization (unavailable)
Chapter 8: Our First Neural Network (unavailable)
Chapter 9: The “Deep” in Deep Learning (unavailable)
Chapter 10: Targeting Visual Learning with Convolutional Neural Networks (unavailable)
Chapter 11: Practical Considerations of Running Neural Networks (unavailable)
Chapter 12: Scientific Computing (unavailable)
Chapter 13: Intro to Unsupervised Learning (unavailable)
Chapter 14: Intro to Reinforcement Learning (unavailable)
Chapter 15: A Glimpse into Transformers (unavailable)
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.