ANN

Design and Implementation of an Artificial Neural Network as the general multi-class classifier for MNIST dataset developed by C++ from scratch and the user is able to set the number of layers and the number of neurons in each layer
Some key element in design:

• Feedforward function: to carry out the layer-wise feedforward calculations
• Train function: use mini-batch SGD and backprogagation algorithm for the training
• Activation function: Sigmoid function
• Loss function: MSE
• Save/load the weights
• Save/load the pre-train my model
• Enhance the ANN by OpenMP

This is the project I developed in undergraduate year 3 of my university period, quite challenging but extremely interesting in that time before COVID-19 pandemic.