- arrays - what does numpy ndarray shape do? - Stack Overflow
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 yourarray ndim or np ndim() (i e it gives the n of the ndarray since all arrays in NumPy are just n-dimensional arrays (shortly called as ndarray s)) For a 1D array, the shape would be (n,) where n is the number of elements in your array
- python - 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 your array
- python - x. shape [0] vs x [0]. shape in NumPy - Stack Overflow
On the other hand, x shape is a 2-tuple which represents the shape of x, which in this case is (10, 1024) x shape[0] gives the first element in that tuple, which is 10 Here's a demo with some smaller numbers, which should hopefully be easier to understand
- android - How to set shapes opacity? - Stack Overflow
I already know how to set the opacity of the background image but I need to set the opacity of my shape object In my Android app, I have it like this: and I want to make this black area a bit
- python - Keras Dense layer Output Shape - Stack Overflow
For example, output shape of Dense layer is based on units defined in the layer where as output shape of Conv layer depends on filters Another thing to remember is, by default, last dimension of any input is considered as number of channel
- Keras input explanation: input_shape, units, batch_size, dim, etc
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 output shape of a layer
- python - list object has no attribute shape - Stack Overflow
8 list object in python does not have 'shape' attribute because 'shape' implies that all the columns (or rows) have equal length along certain dimension Let's say list variable a has following properties:
- python - ValueError: shape mismatch: objects cannot be broadcast to a . . .
ValueError: shape mismatch: objects cannot be broadcast to a single shape It computes the first two (I am running several thousand of these tests in a loop) and then dies
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