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Coursera Videos

Watch them all๐Ÿ˜Š

  1. How do we define learning?

  1. How do we evaluate our Networks?

  1. How do we learn our Network?

  1. How do we handle Big Data?

  1. Early Stopping

Done!

Week 2 - Recap ML Basics, Intro to PyTorch

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Course session

Quiz

ML Basics recap

Solutions exercises

Presentation from the participants of the tasks from PyTorch101

Walk-through

PyTorch 202 (Lab 02)

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To-do

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Go for your own through the Colab Notebook above (Pytorch202) and try to understand and repeat the steps for your own.

Watch the videos on the next page

Go through the following notebooks and complete the second one (assignment notebook):

The redundancy between some notebooks is desired to reintroduce the concepts in a different way and hence enrich your learning experience!

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Try to improve the accuracy in the PyTorch 202 notebook by tweaking the amount of layers and number of neurons

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Familiarize yourself with basic PyTorch Tutorials:

  • (Second part)

https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.htmlarrow-up-right
https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial3/Activation_Functions.htmlarrow-up-right
https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial4/Optimization_and_Initialization.htmlarrow-up-right
Google Colabcolab.research.google.comchevron-right
The assignment notebook
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Google Colabcolab.research.google.comchevron-right
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Google Colabcolab.research.google.comchevron-right
The first notebook
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