Why does gradient descent work faster with ReLU compared to using with Signoid?
75450
How does rectilinear activation function solve the vanishing gradient problem in neural networks?
102350
Cost function of neural network is non-convex?
157923
RMSProp Squared Gradients
108282
How to choose between learning algorithms
88139
Why binary crossentropy can be used as the loss function in autoencoders?
22668
Linear vs. nonlinear regression
156743
is it wrong? -> using Gradient to get the steepest slope to go upwards, so in order get minimized loss we go the opposite
61083
Why is Newton's method not widely used in machine learning?
119698
Why are bias nodes used in neural networks?
29487
What is the time complexity of conjugate gradient method?
79882
Explanation of Spikes in training loss vs. iterations with Adam Optimizer
455
Recurrent vs Recursive Neural Networks: Which is better for NLP?
81133
Adaboost vs Gradient Boosting
80182
Deriving the KL divergence loss for VAEs
50063
Well-posed vs Well-conditioned
90780
Why does implicit differentiation work on non-functions?
126800
Why do we use multiple epochs and why does it not lead to over fitting