December 2018
Intermediate to advanced
158 pages
3h 58m
English
Content preview from Deep Learning with PyTorch Quick Start Guide
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Long short-term memory networks
Long short-term memory networks (LSTMS), are a special type of RNN capable of learning long-term dependencies. While standard RNNs can remember previous states to some extent, they did this on a fairly basic level by updating a hidden state on each time step. This enabled the network to remember short-term dependencies. The hidden state, being a function of previous states, retains information about these previous states. However, the more time steps there are between the current state and a previous state, it diminishes the effect that this earlier state will have on the current state. Far less information is retained on a state that is say 10 time steps before the time step immediately preceding the current ...
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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.