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docs: [Automated] Regenerating documenation for efee3e6
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Signed-off-by: TRTorch Github Bot <[email protected]>
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TRTorch Github Bot committed Oct 14, 2021
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2 changes: 1 addition & 1 deletion docs/_notebooks/Resnet50-example.html
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<img alt="02e8be2e088b4b1d88aadea55d20b85d" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<section id="TRTorch-Getting-Started---ResNet-50">
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<section id="TRTorch-Getting-Started---LeNet">
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2 changes: 1 addition & 1 deletion docs/_notebooks/vgg-qat.html
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## 2. VGG16 Overview ### Very Deep Convolutional Networks for Large-Scale Image Recognition VGG is one of the earliest family of image classification networks that first used small (3x3) convolution filters and achieved significant improvements on ImageNet recognition challenge. The network architecture looks as follows
<img alt="932256ec3c1f42c98baaec708716a729" src="https://neurohive.io/wp-content/uploads/2018/11/vgg16-1-e1542731207177.png"/>
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## 3. Training a baseline VGG16 model We train VGG16 on CIFAR10 dataset. Define training and testing datasets and dataloaders. This will download the CIFAR 10 data in your
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2 changes: 1 addition & 1 deletion docs/searchindex.js

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