README.md

Deep Learning with PyTorch: Zero to GANs

This repository is for storing all the projects and notebook for the course Deep Learning with PyTorch: Zero to GANs offered by Jovian

Overview

“Deep Learning with PyTorch: Zero to GANs” is an online course intended to provide a CodingFirst introduction to deep learning using the PyTorch framework. The course takes a hands-on coding-focused approach and will be taught using live interactive Jupyter notebooks, allowing students to follow along and experiment. Theoretical concepts will be explained in simple terms using code.

Topics Covered:

• Pytorch Basics and Tensor
• Linear and Logistic Regression
• Deep Neural Networks (NN)
• Image Classification with Convolutional Neural Networks (CNN)
• Residual Network (ResNet) Architecture
• Training Model on GPU
• Data Augmentation, Regularization
• Generative Adversarial Networks (GANs) and Transfer Learning

Selected Projects

• Classifying images from CIFAR100 using ResNet

  • NoteBook Link

• Classifying images from CIFAR10 using ResNet9 Architecture

  • Notebook Link

• Classifying images from Fashion MNIST using CNN

  • Notebook Link

• Classifying images of digits from MNIST using Logistic Regression

  • Notebook Link