February 2018
Intermediate to advanced
262 pages
6h 59m
English
Content preview from Deep Learning with PyTorch
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Generating the batches
Let's take a look at the code and understand the two key things involved in the batching of sequential data:
train_iter, valid_iter, test_iter = data.BPTTIterator.splits( (train, valid, test), batch_size=20, bptt_len=35, device=0)
There are two important things that are going through this method. One is batch_size, and another is bptt_len, called backpropagation through time. It gives a brief idea about how data is transformed through each phase.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.