Deep Learning with PyTorch Live Course - Tensors, Gradient Descent & Linear Regression (Part 1 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 the basic concepts in PyTorch viz. tensors & gradients, and walks through the process of implementing linear regression and gradient descent - the foundational algorithms in machine learning. Resources: 🔗 PyTorch Basics: https://jovian.ml/aakashns/01-pytorch-basics 🔗 Linear Regression: https://jovian.ml/aakashns/02-linear-regression 🔗 Machine Learning Intro: https://jovian.ml/aakashns/machine-learning-intro 🔗 Discussion forum: https://jovian.ml/forum/t/lecture-1-pytorch-basics-linear-regression/1541 🔗 Programming Assignment: https://jovian.ml/forum/t/assignment-1-all-about-torch-tensor/1559 Topics covered: ⌨️ Introduction to Machine Learning & Deep Learning ⌨️ PyTorch Basics: Tensors, Gradients & Autograd ⌨️ Linear Regression and gradient descent from scratch using Tensor operations ⌨️ Linear Regression using PyTorch built-ins (nn.Linear, nn.functional etc.) 🎥 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