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This is for Dynamic Neural Nets, which do not need back propagation. The benchmarks are amazing.
by nickbauman 9y ago
This is for Dynamic Neural Nets, which do not need back propagation. The benchmarks are amazing.
- stochastic_monk 9y agoWhat is the optimization algorithm for these if not backpropagation? This page does mention the use of hyperparameters for optimization and compares itself to an adaptive stochastic gradient descent method, which makes me think that it is using backpropagation.
- nickbauman 9y agoBer ber ber, I think you're right. I was assuming a Cascade-Correlation DNN.
- aria 9y agoDefinitely doing the standard back-prop algorithm. Check out the code, it's pretty straightforward and the whole lib is about 2,500 lines