Network with parallel connections GoogLeNet / Inception V3 hands-on deep learning v2 pytorch - Code World

Network with parallel connections GoogLeNet / Inception V3 hands-on deep learning v2 pytorch

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Origin blog.csdn.net/zgpeace/article/details/124162617

Network with parallel connections GoogLeNet / Inception V3 hands-on deep learning v2 pytorch

Deep learning face questions 29: GoogLeNet (Inception V3)

CNN deep convolutional neural network AlexNet hands-on deep learning v2 pytorch

Network in the network NiN hands-on deep learning v2 pytorch

Hands-on deep learning v2 pytorch using block network VGG

Classic convolutional neural network LeNet hands-on deep learning v2 pytorch

CNN convolutional neural network pooling layer Pooling hands-on deep learning v2 pytorch

Deep neural network hardware GPU single machine multi-card parallel hands-on deep learning v2

2. CNNs network architecture - convolution separation network architecture (VGGNet, GoogLeNet, GoogleNet v2, GoogleNet v3, GoogleNet v4, Inception-ResNet)

hands-on deep learning v2 p2 linear neural network linear regression

Dropout drop method hands-on deep learning v2 pytorch

Weight decay Weight Decade hands-on deep learning v2 pytorch

Multi-layer perceptron + code implementation - hands-on deep learning v2 pytorch

Softmax regression + loss function + image classification dataset hands-on deep learning v2 pytorch

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Actual Kaggle Competition: Dog Breed Recognition (ImageNet Dogs) Hands-on Deep Learning v2 pytorch

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MXNet hands-on deep learning notes: GoogLeNet neural network implementation

Depth articles - classic History of Deep Learning Network model (five) GoogleNet elaborate structure and characteristics (including v1, v2, v3)

Numerical stability gradient explosion gradient disappearance + model initialization and activation function hands-on deep learning v2 pytorch

Multi-input multi-output channel channel in CNN convolutional layer hands-on deep learning v2 pytorch

(9) PyTorch deep learning: convolutional neural network (the inception module module in the GoogleNet network architecture is the convolutional neural network architecture)

Deep Learning Hardware: CPU and GPU Hands-on Deep Learning v2

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02|Li Mu hands-on learning deep learning v2 (notes)

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04 Data manipulation + data preprocessing [hands-on deep learning v2]

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