Neural Network Implementation from Scratch

Features:

• 2-2-1 architecture (2 inputs, 2 hidden neurons, 1 output)
• Sigmoid activation function
• MSE loss
• Manual backprop

Usage

nn = NeuralNetwork()
nn.train(data, labels)
prediction = nn.feedforward(np.array([x,y])

Backpropagation Calculations