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Update docs/02_pytorch_classification.ipynb
Fix typo
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docs/02_pytorch_classification.ipynb

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"PyTorch has a bunch of [ready-made non-linear activation functions](https://pytorch.org/docs/stable/nn.html#non-linear-activations-weighted-sum-nonlinearity) that do similiar but different things. \n",
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"One of the most common and best performing is [ReLU](https://en.wikipedia.org/wiki/Rectifier_(neural_networks) (rectified linear-unit, [`torch.nn.ReLU()`](https://pytorch.org/docs/stable/generated/torch.nn.ReLU.html)).\n",
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"One of the most common and best performing is [ReLU](https://en.wikipedia.org/wiki/Rectifier_(neural_networks)) (rectified linear-unit, [`torch.nn.ReLU()`](https://pytorch.org/docs/stable/generated/torch.nn.ReLU.html)).\n",
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"Rather than talk about it, let's put it in our neural network between the hidden layers in the forward pass and see what happens."
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