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doc/lenet.txt

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@@ -216,7 +216,7 @@ one of Figure 1. The input consists of 3 features maps (an RGB color image) of s
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# but also to insert new ones along which the tensor will be
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# broadcastable;
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# dimshuffle('x', 2, 'x', 0, 1)
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# This will work on 3d tensors whith no broadcastable
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# This will work on 3d tensors with no broadcastable
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# dimensions. The first dimension will be broadcastable,
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# then we will have the third dimension of the input tensor as
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# the second of the resulting tensor, etc. If the tensor has

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