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Deep Learning with MXNet Cookbook

You're reading from  Deep Learning with MXNet Cookbook

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781800569607
Pages 370 pages
Edition 1st Edition
Languages
Author (1):
Andrés P. Torres Andrés P. Torres
Profile icon Andrés P. Torres

Table of Contents (12) Chapters

Preface Chapter 1: Up and Running with MXNet Chapter 2: Working with MXNet and Visualizing Datasets – Gluon and DataLoader Chapter 3: Solving Regression Problems Chapter 4: Solving Classification Problems Chapter 5: Analyzing Images with Computer Vision Chapter 6: Understanding Text with Natural Language Processing Chapter 7: Optimizing Models with Transfer Learning and Fine-Tuning Chapter 8: Improving Training Performance with MXNet Chapter 9: Improving Inference Performance with MXNet Index Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

absolute value 97

activation function 68, 70

linear activation function 70

Rectified Linear Unit activation function 70

Adadelta 83

Adagrad 83

Adam 83

AdaMax 83

ADE20K 300

AlexNet 133

AlexNet custom model

creating, from scratch 135, 136

evaluating 137

training 136, 137

AlexNet pre-trained model

evaluating, from Model Zoo 140

loading, from Model Zoo 139, 140

Area Under the Curve (AUC) 147

Atrous Spatial Pyramid Pooling (ASPP) 170

attention 184

attention heads 185

cross-attention head 186

self-attention head 186

Automatic Mixed Precision (AMP) 271

applying, for inference 303

enabling, for training optimization 271

using 313

average pooling layer 130

B

Back-Propagation Through Time (BPTT) 180

Bag-Of-Words...

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Deep Learning with MXNet Cookbook
Published in: Dec 2023 Publisher: Packt ISBN-13: 9781800569607
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