Neural Networks Part 7 - Cross Entropy Derivatives and Backpropagation
StatQuest with Josh Starmer via YouTube
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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.
Syllabus
Awesome song and introduction
dCE_setosa with respect to b3
dCE_virginica with respect to b3
Other derivatives
Backpropagation with cross entropy
Taught by
StatQuest with Josh Starmer