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Lesson 5 - Data Augmentation, Regularization & ResNets

Deep Learning with PyTorch: Zero to GANs

Hindi Version: https://youtu.be/S2zNff6rgOg

This lesson covers some advanced techniques like data augmentation, regularization, and adding residual layers to convolutional neural networks. We train a state-of-the-art model from scratch in just five minutes. Notebooks used in this lesson:

Ask questions and get help on the course discussion forum

aakashns/05b-cifar10-resnet
aakashns/05-cifar10-cnn
aakashns/transfer-learning-human-protein
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