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1D convolution for neural networks, part 9: Stride - Duration: 3 minutes, 2 seconds.
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1D convolution for neural networks, part 8: Padding - Duration: 4 minutes, 16 seconds.
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1D convolution for neural networks, part 7: Weight gradient - Duration: 3 minutes, 10 seconds.
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1D convolution for neural networks, part 6: Input gradient - Duration: 3 minutes, 35 seconds.
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1D convolution for neural networks, part 5: Backpropagation - Duration: 4 minutes, 50 seconds.
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1D convolution for neural networks, part 4: Convolution equation - Duration: 2 minutes, 36 seconds.
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1D convolution for neural networks, part 3: Sliding dot product equations longhand - Duration: 4 minutes, 20 seconds.
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1D convolution for neural networks, part 2: Convolution copies the kernel - Duration: 3 minutes, 12 seconds.
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1D convolution for neural networks, part 1: Sliding dot product - Duration: 4 minutes, 29 seconds.
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Evolutionary Powell's method: A discrete optimizer for hyperparameter optimization - Duration: 14 minutes, 17 seconds.
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How Backpropagation Works - Duration: 18 minutes.
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Interview with iRobot's Director of Data Science Angela Bassa - Duration: 4 minutes, 25 seconds.
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Created playlists
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E2EML 171. How to Choose Model - Playlist
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E2EML 193. How Neural Networks Work - Playlist
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Talks - Playlist
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