Deep Learning and Neural Networks
Articles on deep learning and neural networks in Artificial Intelligence and Data Engineering, starting with the main guide.
How Neural Networks Work: Neurons, Layers and Training How neural networks work: artificial neurons, weights and biases, activation functions, layers, forward pass, loss, backpropagation and gradient descent. Convolutional Neural Networks (CNN) Explained Convolutional neural networks explained: convolution, kernels, stride, padding, pooling, CNN layers, output size and parameter count, with a worked example.