Wednesday, March 13, 2019
Flatten, Reshape, and Squeeze Explained - Tensors for Deep Learning with...
Matrix is a rank 2 tensor. There are two axis one is an array, one is individual numbers.
Check the dimensions of tensors using .size() or .shape()
Obtain the rank of the tensor by checking the length of its shape
len(tensor.shape) #returns 2 for matrix
number of elements in the tensor, is the product of the component values in the shape torch.tensor(my_tensor.shape).prod()
my_tensor.numel() #number of elements
number of elements is important in reshaping
reshaping does not change underlining data just change the shape
Data cleaning Missing data Outlier Others: duplicates, typos, special characters Strategy for missing data: imputation, mean, median...
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