Calculus, Backpropagation, Neural Networks, Mathematics, AI.
need to do this since that won’t give us any information on our weights. By following the a’s back through the algorithm, we can get from C to x, since each layer builds on the one before. On the way back to x, we can calculate, in the z layers, the derivatives for biases and weights, kind of like