Deep Learning with PyTorch | S3P1 | Understanding Gradient Descent Optimization
This video is a part of the deep learning foundations course using PyTorch.
In this video, I have given you an introduction to the gradient descent optimization process. In this process, the model parameter values are tweaked in order to reduce the overall loss.
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Timecodes:
0:00 - Intro
0:43 - Recap of Neural Networks
2:24 - The Regression Problem
3:28 - Neuron for Linear Regression
5:01 - Fitting the best line
8:07 - What is Gradient Descent
9:43 - Visualizing Gradient Descent
14:00 - Conclusion
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