Deep Learning with PyTorch Live Course - Working with Images & Logistic Regression (Part 2 of 6)

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-logistic-regression 🔗 Linear Regression (minimal starter): https://jovian.ml/aakashns/housing-linear-minimal 🔗 Logistic Regression (minimal starter): https://jovian.ml/aakashns/mnist-logistic-minimal 🔗 Discussion forum: https://jovian.ml/forum/t/lecture-2-working-with-images-logistic-regression/1542 🔗 Programming Assignment: https://jovian.ml/forum/t/assignment-2-train-your-first-model/1560 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 🎥 Watch the entire series here: https://www.youtube.com/watch?v=vo_fUOk-IKk&list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa This course is taught by Aakash N S, Founder & CEO of Jovian.ml - a platform for sharing, showcasing and collaborating on data science projects online. 🔗 YouTube: https://youtube.com/jovianml 🔗 Twitter: https://twitter.com/jovianml 🔗 LinkedIn: https://linkedin.com/company/jovianml  -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news