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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