- Tensors- Understanding tensors and tensor operations using PyTorch
- FMNIST_PyTorch- Building deep learning network using FMNIST dataset in PyTorch
- CIFAR_Resnet - Implementing Resnet18 on CIFAR-10 dataset in PyTorch
- Regularisation- Understanding impact of Dropout , L1 and L2 regularisations on MNIST dataset in PyTorch
- BN- Batch Normalisation - Impact of using Batch Normalisation in PyTorch
- NLP- Basic NLP techniques implementation in Python - (NER)
- TransferLearning- Transfer Learning implementation using Resnet18 model on CIFAR-10 dataset in PyTorch.