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Homework Assignments Completed as a part of the course on "Foundations of Artificial Intelligence" at USC.

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AI

Projects in Artificial Intelligence

1. Implementations of BFS, UCS and A* search in a 3-D Cave like maze system with 4M+ nodes.

2. Implementation of Alpha-Beta pruning in order to solve a 5*5 Go Game.

Went only until depth 4 for this implementation as it takes more time otherwise.

3. Implementation of ANN from scratch for the MNIST dataset.

Used sigmoid for hidden layers and softmax for output layer with cross-entropy loss function.

Description of project is provided in the PDF file.

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Homework Assignments Completed as a part of the course on "Foundations of Artificial Intelligence" at USC.

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artificial-intelligence searching-algorithms alpha-beta-pruning go-game mnist-handwriting-recognition astar-search-algorithm ucs-search

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