Here we go through the math required to update a parameter in a neural network using reinforcement learning and we do it one step a time. We show how the derivatives are calculated (BAM!), then updated (DOUBLE BAM!!), and then used to optimize the parameters (TRIPLE BAM!!!).

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0:00 Awesome song and introduction
4:09 Calculating a derivative
12:16 Updating the derivative with a reward
15:39 Updating a parameter in the neural network
16:28 A second example

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