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Results tagged with neural-network
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user 60648
Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
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Why does my LSTM perform better when randomizing training subset vs. standard batch training?
I am training a simple LSTM network using Keras to predict time series values. It is a simple 2-layer LSTM.
I get the best performance when I train on subsets of the training set that start at random …
- 95
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What is the relation between input into LSTM and number of cells?
I want to train an LSTM network for time-series predictions, and want to get to the bottom of LSTM's.
In my understanding, the number of cells in a single LSTM layer can vary. However, since each cell …
- 95