Tflearn: Solving XOR with a 2x2x1 feed forward neural network in Tensorflow by Tadej Magajna
Backpropagation is a way to update the weights and biases of a model starting from the output layer all the way to the beginning. The main principle behind it is that each parameter changes in proportion to how much it affects the network’s output. A weight that has barely any effect on the output of […]