NNDL-Fantastic Beasts

This repository is consisting of the work done in one semester of NNDL course and is supposed to be reference material for whoever finds it interesting.

Our repository mainly deals with Machine Learning and Deep Learning concepts- Decision Trees and CNN in particular.

Here are a few pointers that will help you to navigate easily around our repository-

File Structure

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├── Assets [ Contains media used for the repo ]
├── CNN [ Contains the code implementation of CNN ]
├── Decision Trees [ Contains the Code implementation and Mathematics of DT ]
├── Infographic on Decision Trees [ Comprehensive figure explaining DT ]
└── README.md [ .md file describing the repo ]

Libraries

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• Pandas
• NumPy
• Matplotlib
• Math
• Sys
• Time
• Keras

Tools

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• VSCode
• Google Colab

References

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1.https://machinelearningmastery.com/how-to-develop-a-cnn-from-scratch-for-cifar-10-photo-classification/