AI101

Repository containing hands-on, open-source, practise notebooks for participants attending the AI 101: Introduction to Artificial Intelligence Workshop.

List of files:

Workshop Resources
- Resources.txt
Workshop Example:
- Feature Classifier Example
For Machine Learning:
- 01 - Data Exploration
- 02 - Regression
- 03 - Classification
- 04 - Clustering
For Deep Learning:
- 05a - Deep Neural Networks (PyTorch)
- 05a - Deep Neural Networks (TensorFlow)
- 05b - Convolutional Neural Networks (PyTorch)
- 05b - Convolutional Neural Networks (Tensorflow)
- 05c - Transfer Learning (PyTorch)
- 05c - Transfer Learning (Tensorflow)

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
01 - Data Exploration.ipynb		01 - Data Exploration.ipynb
02 - Regression.ipynb		02 - Regression.ipynb
03 - Classification.ipynb		03 - Classification.ipynb
04 - Clustering.ipynb		04 - Clustering.ipynb
05a - Deep Neural Networks (PyTorch).ipynb		05a - Deep Neural Networks (PyTorch).ipynb
05a - Deep Neural Networks (TensorFlow).ipynb		05a - Deep Neural Networks (TensorFlow).ipynb
05b - Convolutional Neural Networks (PyTorch).ipynb		05b - Convolutional Neural Networks (PyTorch).ipynb
05b - Convolutional Neural Networks (Tensorflow).ipynb		05b - Convolutional Neural Networks (Tensorflow).ipynb
05c - Transfer Learning (PyTorch).ipynb		05c - Transfer Learning (PyTorch).ipynb
05c - Transfer Learning (Tensorflow).ipynb		05c - Transfer Learning (Tensorflow).ipynb
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
Feature Classifier Example.ipynb		Feature Classifier Example.ipynb
README.md		README.md
Resources.docx		Resources.docx

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