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Fixed a typo #109

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Jan 2, 2019
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Fixed a typo #109

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2 changes: 1 addition & 1 deletion intro-to-pytorch/Part 2 - Neural Networks in PyTorch (Exercises).ipynb
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Expand Up @@ -333,7 +333,7 @@
"source": [
"### Activation functions\n",
"\n",
"So far we've only been looking at the softmax activation, but in general any function can be used as an activation function. The only requirement is that for a network to approximate a non-linear function, the activation functions must be non-linear. Here are a few more examples of common activation functions: Tanh (hyperbolic tangent), and ReLU (rectified linear unit).\n",
"So far we've only been looking at the sigmoid activation function, but in general any function can be used as an activation function. The only requirement is that for a network to approximate a non-linear function, the activation functions must be non-linear. Here are a few more examples of common activation functions: Tanh (hyperbolic tangent), and ReLU (rectified linear unit).\n",
"\n",
"<img src=\"assets/activation.png\" width=700px>\n",
"\n",
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