Deep Learning: A Visual Approach
Glassner, Andrew
Deep Learning: A Visual Approach - USA No Starch Press 2021 - 736p
Part I: Foundational Ideas
An Overview of Machine Learning
Essential Statistics
Measuring Performance
Bayes’ Rule
Curves and Surfaces
Information Theory
Part II: Basic Machine Learning
Classification
Training and Testing
Overfitting and Underfitting
Data Preparation
Classifiers
Ensembles
Part III: Deep Learning Basics
Neural Networks
Backpropagation
Optimizers
PART IV: Beyond the Basics
Convolutional Neural Networks
Convnets in Practice
Autoencoders
Recurrent Neural Networks
Attention and Transformers
Reinforcement Learning
Generative Adversarial Networks
Creative Applications
9781718500723
Computer Engineering
006.31 / GLA
Deep Learning: A Visual Approach - USA No Starch Press 2021 - 736p
Part I: Foundational Ideas
An Overview of Machine Learning
Essential Statistics
Measuring Performance
Bayes’ Rule
Curves and Surfaces
Information Theory
Part II: Basic Machine Learning
Classification
Training and Testing
Overfitting and Underfitting
Data Preparation
Classifiers
Ensembles
Part III: Deep Learning Basics
Neural Networks
Backpropagation
Optimizers
PART IV: Beyond the Basics
Convolutional Neural Networks
Convnets in Practice
Autoencoders
Recurrent Neural Networks
Attention and Transformers
Reinforcement Learning
Generative Adversarial Networks
Creative Applications
9781718500723
Computer Engineering
006.31 / GLA