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

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Published on November 21, 2020 5:25:06 PM ● Video Link: https://www.youtube.com/watch?v=5ioMqzMRFgM

Duration: 1:49:15

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“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/

Watch the entire series here: https://www.youtube.com/playlist?list=PLWKjhJtqVAbm5dir5TLEy2aZQMG7cHEZp

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.
- YouTube: https://youtube.com/jovianml
- Twitter: https://twitter.com/jovianml
- LinkedIn: https://linkedin.com/company/jovianml

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