Lesson 4 - Image Classification with Convolutional Neural Networks

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

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Lesson 5 - Data Augmentation, Regularization & ResNets Lesson 6: Generative Adversarial Networks and Transfer Learning Project - Train a Deep Learning Model from Scratch

Hindi version: https://youtu.be/OTyv_G3OL9I

This lesson introduces convolutional neural networks (CNNs) that are well-suited for image datasets and computer vision problems. We also cover underfitting, overfitting and techniques to improve model performance. Notebooks used in this lesson:

Convolutional Neural Networks: https://jovian.ai/aakashns/05-cifar10-cnn
CIFAR10 Feed Forward Model: https://jovian.ai/aakashns/03-cifar10-feedforward

Ask questions and get help on the course discussion forum.

Notebooks

Your Notebooks

aakashns/05-cifar10-cnn

Code it Yourself

aakashns/03-cifar10-feedforward

Code it Yourself