t =np.zeros((5,5,3),dtype =‘uint8’)
plt.imshow(t)
plt.show()
when the output comes image is formed of 5 rows and 5 columns but we form a tensor of 5 rows and 3 columns ??
Tensor quantity
and if write a = np.zeros((50,25,3),dtype =‘uint8’) plt.imshow(a) plt.show() what output can you explain ?
in the video it is said that 5 is rows , 5 columns and 3 channels but that not coming ou in output , can you explain what are rows , columns and tensors more clearly as it is getting confusing ?
what does channels means in tensor>
Hello @coding123c,
Yes because 5 matrix of 5X3 size submatrix and so you may understand 5 is x and 5 is y.
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