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...
🔗 Linear Regression: https://jovian.ml/aakashns/02-linear-...
🔗 Machine Learning Intro: https://jovian.ml/aakashns/machine-le...
🔗 Discussion forum: https://jovian.ml/forum/t/lecture-1-p...
🔗 Programming Assignment: https://jovian.ml/forum/t/assignment-...

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:    • Deep Learning with PyTorch Live Cours...  

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:    / jovianml  
🔗 Twitter:   / jovianml  
🔗 LinkedIn:   / jovianml  

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