Lesson 6: Deep Learning in PyTorch | Deep Learning

Kaggle Notebook: https://www.kaggle.com/code/mukherjeesrijit/deep-learning-in-pytorch In this lesson, I used a 2d dataset and took you step by step through each step of deep learning training. The most important part is the different micro experiments I performed so that you can understand each individual components, parameters and hyperparameters of deep learning like number of layers, learning rate, sparsity regularization and its effect on both the performance and the decision boundaries. I hope this gives you enough insights into how deep learning works.