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Citation details This text is extracted from a pre-print of the paper and may have errors. This is the author's version of the paper and it may be annotated by the typist. Vancouver: Yamtal, yamtal: pippi digitali avvoc -30-cmcpsci.glu.ac.uk (2020-08-25) [pre-print] . Q: How to expand a tensor to two dimensions in Keras? Suppose I have a tensor with three dimensions: In [12]: x Out[12]: array([[[[ 1., 2., 3.]], [[ 4., 5., 6.]], [[ 7., 8., 9.]]]], dtype=float32) How do I create a tensor that is two times longer in all three dimensions? In [13]: x_expanded Out[13]: array([[[[ 1., 2., 3.], [ 4., 5., 6.]], [[ 7., 8., 9.], [ 7., 8., 9.]], [[ 9., 10., 11.], [ 9., 10., 11.]]]], dtype=float32) The tensor should have a shape of (3,2,2,2). I tried to use the following, but it doesn't work. In [13]: x_expanded = np.expand_dims(x, axis=-1) --------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () ----> 1 x_expanded = np.expand_dims(x, axis=-1) ValueError: NumPy boolean array indexing assignment requires an axis A ac619d1d87


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