This is a beginner-friendly coding-first online course on PyTorch - one of the most widely used and fastest growing frameworks for machine learning. This video covers techniques for working with images in PyTorch, the importance of creating training, validation & test sets, the process of creating & training an image classification model using Logistic regression and more. Resources: 🔗 Logistic regression (detailed): https://jovian.ml/aakashns/03-logisti... 🔗 Linear Regression (minimal starter): https://jovian.ml/aakashns/housing-li... 🔗 Logistic Regression (minimal starter): https://jovian.ml/aakashns/mnist-logi... 🔗 Discussion forum: https://jovian.ml/forum/t/lecture-2-w... 🔗 Programming Assignment: https://jovian.ml/forum/t/assignment-... Topics covered: ⌨️ Working with images from the MNIST dataset ⌨️ Creating training, validation and test sets ⌨️ Softmax and categorical cross entropy loss function ⌨️ Model training, evaluation and sample predictions