Programming PyTorch for Deep Learning by Ian Pointer

Author:Ian Pointer
Language: eng
Format: epub
Publisher: O'Reilly Media
Published: 2019-09-27T00:00:00+00:00

start_time = time.process_time() b.__getitem__(33) end_time = time.process_time() end_time - start_time >> 0.0031465259999094997

Obtaining an element from this dataset takes roughly the same time as in our original audio-based one, so we won’t be losing anything by moving to our image-based approach, except for the one-time cost of precomputing all the images before creating the database. We’ve also supplied a default transform pipeline that turns an image into a tensor, but it can be swapped out for a different pipeline during initialization. Armed with these optimizations, we can start to apply transfer learning to the problem.

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