Archives for exploding gradient
05
Apr
Yann Lecun and team introduce an efficient method for training deep networks with unitary matrices
Researchers from MIT and Facebook AI have introduced projUNN, an efficient method for training deep networks with unitary matrices.
The traditional feed-forward neural networks are not good with time-series data and other sequences or sequential data. This data can be something as volatile as stock prices or a continuous video stream from an on-board camera of an autonomous car. Handling time series data is where RNNs excel. They were designed to grasp the information…
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