Video: 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

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