Excursion First Release

With this version you can take an expedition to the XOR problem and the MNIST dataset :)

• Core: Basic implementation of the feedforward neural networks with the ability to add layers and train on datasets.
• Layers: Includes fully connected layers and activation layers with support for the tanh activation function.
• Loss Functions: Implementation of mean squared error loss function for training.
• Examples: Contains example code for training networks on the XOR problem and the MNIST dataset.
• Eigen Library Integration: Utilized for fast matrix operations