• 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.

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