Understanding classes and objects is fundamental in programming, akin to learning the ABCs before forming sentences. In this context, think of a class as a blueprint—it defines the structure and ...

The network is defined with an input layer of 2 neurons, a hidden layer of 4 neurons, and an output layer of 1 neuron. The tanh_activation function is used as the activation function for the neurons, ...

This repository contains source code for Convolutional Neural Network to train and predict MNIST dataset which is a dataset for handwritten digits from 0-9 , using C++ as programming language. It is ...