This repository contains the code files taught from the deep learning course from PadhAI.
Each folder inside the repo contains the code for the respective topic and has support to execute the code directly in Google colab and/or Kaggle Kernels without worrying about installing the dependencies
Contents of the repository
- ActivationFunction and WeightMethods: Analyzing the effect of activations and weight initialisation methods on deep neural network.
- PytorchIntro: Tutorial code for deep learning researchers to learn PyTorch using GPU in Colab.
- Feedforward With Pytorch: Tutorial code for building feedforward neural networks using Pytorch.
- Image Classification Using Pytorch: Building Image classifier using Pytorch on CIFAR10, FashionMNIST datasets
$ git clone https://github.com/Niranjankumar-c/DeepLearning-PadhAI.git $ cd DeepLearning-PadhAI/