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What does .shape [] do in "for i in range (Y.shape [0])"?
shape is a tuple that gives you an indication of the number of dimensions in the array. So in your case, since the index value of Y.shape[0] is 0, your are working along the first dimension of …
Difference between numpy.array shape (R, 1) and (R,)
Shape n, expresses the shape of a 1D array with n items, and n, 1 the shape of a n-row x 1-column array. (R,) and (R,1) just add (useless) parentheses but still express respectively 1D …
arrays - what does numpy ndarray shape do? - Stack Overflow
Nov 30, 2017 · 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; And you can get the (number of) dimensions of your array using …
python - What does -1 mean in numpy reshape? - Stack Overflow
Sep 9, 2013 · This answer contains a lot of examples but doesn't lay out what -1 does in plain English. When reshaping an array, the new shape must contain the same number of elements …
What does shape[0] and shape[1] do in python? - Stack Overflow
Jul 21, 2018 · In python shape [0] returns the dimension but in this code it is returning total number of set. Please can someone tell me work of shape [0] and shape [1]? Code: m_train = …
PyTorch: How to get the shape of a Tensor as a list of int
Oct 19, 2017 · Instead of calling list, does the Size class have some sort of attribute I can access directly to get the shape in a tuple or list form?
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
Jan 7, 2018 · 2 x[0].shape gives you the length of the first row. x.shape[0] gives you the first component of the dimensions of 'x', 1024 rows by 10 columns.
python - Numpy array dimensions - Stack Overflow
Jun 17, 2010 · A piece of advice: your "dimensions" are called the shape, in NumPy. What NumPy calls the dimension is 2, in your case (ndim). It's useful to know the usual NumPy terminology: …
Pandas Dataframe ValueError: Shape of passed values is (X, ), …
Pandas Dataframe ValueError: Shape of passed values is (X, ), indices imply (X, Y) Asked 11 years, 8 months ago Modified 7 years, 4 months ago Viewed 60k times
Keras input explanation: input_shape, units, batch_size, dim, etc
Jun 25, 2017 · For any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? For example the doc says units specify the …
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