making Convolution Neural Network from scratch without using any prebuilt framework like TensorFlow or PyTorch
work done: structure to make classes for layers and model is finalized tested sample con2d layer with custom matrix (location: test/conv2d_test.py)
TODO: test layers as per model pipeline add layers in model add activation function add loss and optimizers implement all tested layer and model in pipeline