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www.denizyuret.com
Alec Radford has created some great animations comparing optimization algorithms SGD, Momentum, NAG, Adagrad, Adadelta, RMSprop (unfortunately no Adam) on low dimensional problems. Also check out his presentation on RNNs. "Noisy moons: This is logistic regression on noisy moons dataset from sklearn which shows the smoothing effects of momentum based techniques (which also results in over shooting
It has been a year and a half since I wrote the first version of this tutorial and it is time for an update. Knet (pronounced “kay-net”) is the Koç University deep learning framework implemented in Julia by Deniz Yuret and collaborators. It supports construction of high-performance deep learning models in plain Julia by combining automatic differentiation with efficient GPU kernels and memory mana
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