Simple API: Quickly build and train neural network models with a few lines of code. Customizable Architecture: Easily configure the number of layers, neurons per layer, activation functions, learning ...
Understanding forward propagation and backpropagation mathematically Manual batching, loss computation, and gradient updates Real-time inference using a drawing pad Try to preserve the naming ...