Deep Learning in Java

Devlog: Changes made

• Implemented a Matrix operations java class which utilises SIMD for optimised calculations
• Added a JUnit 6 test which checks correctness and measures performance properly.
• Added GitHub Actions test workflow summary

• Added GitHub Actions workflow for automated testing
• Added dependabot configuration for automatic dependency updates

Finally, I have implemented a single layer perceptron with:

• A learning rule for parameters (weights which includes bias) -> Perceptron Learning Algorithm
• A step function as the activation function

I have also added JUnit test for testing the Perceptron for AND, OR, XOR (where it is expected to fail) and a random linearly separable dataset. The test also checks for input and output size mismatches.

• I have created the repository structure suitable for future implementations of anything I learn in Deep Learning
• Created two classes for performing basic Vector and Matrices operations like addition, scaling up/down, dot product of vectors, multiplication of matrices and implemented methods to reduce a matrix to Echelon Form and Row-Reduced Echelon Form (RREF)
• I have also implemented McCulloch-Pitts (MP) neuron from scratch.
• Added JUnit 6 test for testing the MP neuron implementation