Getting started with deep learning doesn't have to be complicated. The best way to set yourself up is to go on Colab or Kaggle and make your analysis from a notebook.
Table of Content
Use Online Notebooks: 0:00
Main Benefit of Notebooks: 1:14
Notebook Anatomy: 1:53
Pros of Notebooks: 5:52
Cons of Notebooks: 6:09
Conclusion Use Notebooks: 7:29
Honestly, getting started is the one step you do not want to overcomplicated.
Here are a few notebooks that you can open up and start exploring on your own to get a feel of how an analysis is structured:
📌 Adversarial Attacks: https://colab.research.google.com/git...
📌 Image Recognition of Birds: https://www.kaggle.com/code/jhoward/i...
📌 Digits Recognition (MNIST): https://www.kaggle.com/code/yassinegh...
📌 House Prices Analysis: https://www.kaggle.com/code/pmarcelin...
📌 Ensembling and Stacking in Machine Learning: https://www.kaggle.com/code/arthurtok...
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