fast.ai

Notes and examples from the fast.ai course

You can find descriptions of the notebooks and links to view them in nbviewer at my github.io page.

Name		Name	Last commit message	Last commit date
Latest commit History 55 Commits
images		images
.gitignore		.gitignore
Lesson1-notes.ipynb		Lesson1-notes.ipynb
Lesson3-notes 1 (minimum to run, getting data).ipynb		Lesson3-notes 1 (minimum to run, getting data).ipynb
Lesson3-notes 2 (Keras).ipynb		Lesson3-notes 2 (Keras).ipynb
Lesson3-notes 3 (Getting data, Kaggle).ipynb		Lesson3-notes 3 (Getting data, Kaggle).ipynb
Lesson3-notes 4 (CNNs).ipynb		Lesson3-notes 4 (CNNs).ipynb
Lesson3-notes 5 (multi-label classification).ipynb		Lesson3-notes 5 (multi-label classification).ipynb
Lesson4-notes1 (training-validating-test sets, dropout).ipynb		Lesson4-notes1 (training-validating-test sets, dropout).ipynb
Lesson4-notes2 (encoding, predicting structured data).ipynb		Lesson4-notes2 (encoding, predicting structured data).ipynb
Lesson4-notes3 (NLP).ipynb		Lesson4-notes3 (NLP).ipynb
Lesson5-notes1 (Collaborative filtering).ipynb		Lesson5-notes1 (Collaborative filtering).ipynb
Lesson5-notes2 (Gradient descent-optimisation techniques).ipynb		Lesson5-notes2 (Gradient descent-optimisation techniques).ipynb
Lesson6-notes1 (GD).ipynb		Lesson6-notes1 (GD).ipynb
Lesson6-notes2 (RNNs).ipynb		Lesson6-notes2 (RNNs).ipynb
README.md		README.md
conv-example.ods		conv-example.ods
entropy_example.ods		entropy_example.ods
lesson2-notes.ipynb		lesson2-notes.ipynb
submission.gz		submission.gz

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