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Deep learning experiment notes

2022-07-19 03:43:00 【elkluh】

enumerate()

Objects that support iteration

The enumeration object generates a pair containing a count ( from start Start , It defaults to 0) And one by iterable Parameter generated value .

Enumerate Useful for getting index lists :

unique()

Get the non repeating elements in the array .

map()

df[5] = df[4].map(mapping)

hold df[4] Use the value in as a key key, Get a list of values value There is df[5] in .

torch.rand()

Returns the initialized tenosr, Shape is its parameter size

U = torch.rand([m,rank], requires_grad = True, dtype=torch.float)

torch.nn.functional.cross_entropy()

torch.nn.functional.cross_entropy( Self calculated value , The target )

Calculate cross entropy

H(p,q)=−i∑​P(i)logQ(i)

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