@Gch wrote:
Hello,
I have a database of representative matrices that all have the same number of columns but do not have the same number of rows.
1) What is the best way to apply supervised learning with a database of matrix samples.
2) How can we avoid the normalization or compression of dataThe deep learning can solve these problems ?
Best regards
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