Deep Learning: A Visual Approach

By:

Glassner, Andrew

Material type: Text

TextPublication details: No Starch Press 2021 USADescription: 736pISBN:

9781718500723

Subject(s):

Computer Engineering

DDC classification:

006.31 GLA

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	006.31 GLA (Browse shelf(Opens below))	Not For Loan		T0052845

Total holds: 0

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

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