L6.2 Understanding Automatic Differentiation via Computation Graphs
February 16, 2021
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22:48Now PlayingL6.2 Understanding Automatic Differentiation via Computation Graphs
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As previously mentioned, PyTorch can compute gradients automatically for us. In order to do that, it tracks computations via a computation graph, and then when it is time to compute the gradient, it moves backward along the computation graph. Actually, computations graphs are also a helpful concept for learning how differentiation (computing partial derivatives and gradients) work, which is what we are doing in this video.
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