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Algorithms for Hyper-Parameter Optimization
Random search has been shown to be sufficiently efficient for learning neural networks for several datasets, but we show it is unreliable for training DBNs.
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
We introduce a new type of neural network activation function based on recent physiological rate models for complex cells in visual area V1.
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