TensorFlow Data Pipeline. Practical tutorial.

01:15 create dataset using from_tensor_slices
01:45 as_numpy_iterator method
02:12 take method
02:18 batch method
03:15 unbatch method
03:38 repeat method
04:00 cardinality method
04:55 shuffle method
07:40 map method
08:45 apply method
09:40 reduce method
10:08 filter method
10:48 concatenate method
10:59 zip method
11:33 window method
12:34 window method example: build an input for rnn network

Source code:

TensorFlow tutorial:

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[randomdude]

Unrelated to this video but can you post a strategy that uses machine learning and backtradrr

[nasgaroth]

This is awesome, but you skip explain diffrence between map and flat_map. On "window" section you've got hashed out map function and doesnt explain why