Lesson 5 - Data Augmentation, Regularization & ResNets

Deep Learning with PyTorch: Zero to GANs

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Lesson 1 - PyTorch Basics and Gradient Descent Assignment 1 - All About torch.Tensor Lesson 2 - Working with Images and Logistic Regression Assignment 2 - Train Your First Model Lesson 3 - Training Deep Neural Networks on a GPU Assignment 3 - Feed Forward Neural Networks Lesson 4 - Image Classification with Convolutional Neural Networks

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Lesson 6: Generative Adversarial Networks and Transfer Learning Project - Train a Deep Learning Model from Scratch

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:

ResNets, Regularization & Data Augmentation: https://jovian.ai/aakashns/05b-cifar10-resnet
Simple CNN Starter Notebook: https://jovian.ai/aakashns/simple-cnn-starter
Transfer Learning with CNNs: https://jovian.ai/aakashns/transfer-learning-pytorch
Image Classification with CNNs: https://jovian.ai/aakashns/05-cifar10-cnn

Ask questions and get help on the course discussion forum

Notebooks

Your Notebooks

aakashns/05b-cifar10-resnet

Code it Yourself

aakashns/05-cifar10-cnn

Code it Yourself

aakashns/transfer-learning-human-protein

Code it Yourself