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lines changed Original file line number Diff line number Diff line change @@ -10,6 +10,19 @@ Convolutional Neural Networks (LeNet)
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`floatX`_, `downsample`_ , `conv2d`_, `dimshuffle`_. If you intend to run the
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code on GPU also read `GPU`_.
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+ To run this example on a GPU, you need a good GPU. First, it need
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+ at least 1G of GPU RAM and possibly more if your monitor is
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+ connected to the GPU.
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+
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+ Second, when the GPU is connected to the monitor, there is a limit
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+ of a few seconds for each GPU function call. This is needed as
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+ current GPU can't be used for the monitor while doing
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+ computation. If there wasn't this limit, the screen would freeze
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+ for too long and this look as if the computer froze. User don't
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+ like this. This example hit this limit with medium GPU. When the
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+ GPU isn't connected to a monitor, there is no time limit. You can
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+ lower the batch size to fix the time out problem.
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+
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.. _T.tanh: http://deeplearning.net/software/theano/tutorial/examples.html?highlight=tanh
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.. _shared variables: http://deeplearning.net/software/theano/tutorial/examples.html#using-shared-variables
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