Neural Networks Part 7 - Cross Entropy Derivatives and Backpropagation

Neural Networks Part 7 - Cross Entropy Derivatives and Backpropagation

Learn how to calculate the derivative of the Cross Entropy function for Neural Networks and apply it to Backpropagation in this comprehensive video tutorial. Explore step-by-step explanations of dCE_setosa and dCE_virginica with respect to b3, other relevant derivatives, and the application of Cross Entropy in Backpropagation. Gain a deeper understanding of Neural Network concepts, building upon prior knowledge of backpropagation, multiple inputs and outputs, ArgMax, SoftMax, and Cross Entropy.