PyTorch Basics and Gradient Descent | Deep Learning with PyTorch: Zero to GANs | Part 1 of 6

“Deep Learning with PyTorch: Zero to GANs” is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Learn more and register for a certificate of accomplishment here: http://zerotogans.com/

Code and Resources:

• PyTorch basics: https://jovian.ai/aakashns/01-pytorch-basics
  

• Linear regression: https://jovian.ai/aakashns/02-linear-regression
  

• Machine learning: https://jovian.ai/aakashns/machine-learning-intro
  

• Discussion forum: https://jovian.ai/forum/c/pytorch-zero-to-gans/lecture-1-pytorch-basics-linear-regression/63
  

Topics covered in this video:

• Introduction to machine learning and Jupyter notebooks
  

• PyTorch basics: tensors, gradients, and autograd
  

• Linear regression & gradient descent from scratch
  

• Using PyTorch modules: nn.Linear & nn.functional
  

This course is taught by Aakash N S, co-founder & CEO of Jovian - a data science platform and global community.

#deep-learning #pytorch #python #artificial-intelligence #machine-learning