April 2024
Intermediate to advanced
264 pages
6h 10m
English
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BRIEF CONTENTS
PART I: NEURAL NETWORKS AND DEEP LEARNING
Chapter 1: Embeddings, Latent Space, and Representations
Chapter 2: Self-Supervised Learning
Chapter 4: The Lottery Ticket Hypothesis
Chapter 5: Reducing Overfitting with Data
Chapter 6: Reducing Overfitting with Model Modifications
Chapter 7: Multi-GPU Training Paradigms
Chapter 8: The Success of Transformers
Chapter 9: Generative AI Models
Chapter 10: Sources of Randomness
Chapter 11: Calculating the Number of Parameters
Chapter 12: Fully Connected and Convolutional Layers
Chapter 13: Large Training Sets for Vision Transformers
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.