Archives for Exploding Gradient Problem
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 exploding and disappearing gradient problems are the issues that arise when using gradient-based learning methods and backpropagation to train artificial neural networks.
when the elements of the gradient become exponentially small so that the update of the parameters with the gradient becomes almost insignificant
Neural Networks have surely saved us many at times, the way we have used them for different use cases if simply phenomenal. This concept of deep learning was in talks for decades but because of computational issues, it was side talked for a few years. Deep Learning has got its hype again, many think that…
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