TIMESTAMPS
04:49 Transforms and dataset
05:25 Making Deep Networks
08:05 Res and skip connections
13:09 BatchNorm
18:00 Building the Network
24:35 nn.Sequential
28:34 Dropout
33:31 Training
In this video we will have a look at the creation of Deeper Networks in Pytorch using Residual and Skip connections to create a Deep ReNet based Image Classifier!
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https://discord.gg/8g92X5hjYF
The corresponding code is available here! (Section 5)
https://github.com/LukeDitria/pytorch_tutorials
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Creating DEEP CNNs with ResNets: Pytorch Deep Learning Tutorial | NatokHD