1. In neural networks, the process of computing the output of a network by passing input data through each layer sequentially from input to output layer
During forward propagation, each neuron multiplies inputs by weights and applies an activation function.
Durante a propagação direta, cada neurônio multiplica entradas por pesos e aplica uma função de ativação.
2. The initial phase in the training of a neural network where data flows in one direction through the network
Forward propagation must be completed before backpropagation can calculate gradients.
A propagação direta deve ser concluída antes que a retropropagação possa calcular os gradientes.