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· 제목 : Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization (Paperback)
· 분류 : 외국도서 > 컴퓨터 > 프로그래밍 > 애플 프로그래밍
· ISBN : 9781484261675
· 쪽수 : 245쪽
· 출판일 : 2021-01-05
· 분류 : 외국도서 > 컴퓨터 > 프로그래밍 > 애플 프로그래밍
· ISBN : 9781484261675
· 쪽수 : 245쪽
· 출판일 : 2021-01-05
목차
Introduction
Chapter 1: Hardware/Software Requirements
Overview
Chapter 2: Machine Learning Overview
Chapter 3: Neural Network Overview
Chapter 2: Machine Learning Overview
Chapter 3: Neural Network Overview
MNIST w/ 1D NN
Chapter 4: Convolutions,
Chapter 4: Convolutions,
Striding and Maxpool
MNIST w/ 2D CNN
Chapter 5: Color Spaces and Representations
Chapter 5: Color Spaces and Representations
CIFAR w/ 2D CNN + RGB
Chapter 6: Beginning Data Augmentation/Transforms
CIFAR w/ 2D CNN + RGB + Random flip/offsets
Chapter 7: Advanced Data Augmentation/Transforms
Imagenette w/ 2D CNN + RGB + Random transforms
Chapter 8: Datasets
Chapter 8: Datasets
Imagenet w/ VGG (larger 2D cnn + RGB + transforms)
Chapter 9: Residual Networks
Chapter 9: Residual Networks
Imagenet w/ Resnet (larger 2D cnn + RGB + transforms + residual blocks)
Chapter 10: Wide Networks
Chapter 10: Wide Networks
CIFAR w/ wide Resnet (larger 2D cnn + RGB + transforms + residual blocks + expansion layers)
Chapter 11: Efficientnet
Chapter 11: Efficientnet
Imagenet w/ wide Resnet (larger 2D cnn + RGB + transforms + residual blocks + expansion layers + other expansion tricks, current SOTA)
Chapter 12: Cloud Training
Chapter 12: Cloud Training
Distributed training
Chapter 13: Convolutional Neural Networks and Mobile Devices
Chapter 13: Convolutional Neural Networks and Mobile Devices
