Why sigmoid function instead of anything else?
94250
Comprehensive list of activation functions in neural networks with pros/cons
1590
Why not approach classification through regression?
77118
What did my neural network just learn? What features does it care about and why?
64890
Which is more preferable to use: lambda functions or nested functions ('def')?
35671
Why can a discontinuous function not be differentiable?
22916
Derivative of sigmoid function $\sigma (x) = \frac{1}{1+e^{-x}}$
102350
Cost function of neural network is non-convex?
17909
Difference between sequence and function
129280
Neural networks: why do we randomize the training set?
93143
Why do we need autoencoders?
155438
Bayes rule logic. Why we do use this?
145417
Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm?
9968
First-order logic advantage over second-order logic
92956
Is it possible to train a neural network without backpropagation?
88094
Why does the Newton-Raphson method not converge for some functions?
75450
How does rectilinear activation function solve the vanishing gradient problem in neural networks?
36499
Can a neural network learn a functional, and its functional derivative?