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In the intro to pytorch section, the references to download the MNIST data set fail. It would appear, this is tied to the pytorch issue, pytorch/vision#1938 . There is a workaround that is used in the convolutional neural networks section, proposing that this is also used in the intro to pytorch notebooks that download the MNIST data. https://github.com/udacity/deep-learning-v2-pytorch/blob/master/convolutional-neural-networks/mnist-mlp/mnist_mlp_exercise.ipynb
The text was updated successfully, but these errors were encountered:
This issue is also relevant to the autoencoder segment, where mnist data is used.
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In the intro to pytorch section, the references to download the MNIST data set fail. It would appear, this is tied to the pytorch issue, pytorch/vision#1938 . There is a workaround that is used in the convolutional neural networks section, proposing that this is also used in the intro to pytorch notebooks that download the MNIST data. https://github.com/udacity/deep-learning-v2-pytorch/blob/master/convolutional-neural-networks/mnist-mlp/mnist_mlp_exercise.ipynb
The text was updated successfully, but these errors were encountered: