Deep Learning Book - deriving sigmoid units for Bernoulli output
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
127053
How to apply Cross Entropy on Rectified Linear Units
59720
What are appropriate methods for preparing categorical features for recurrent networks to ensure efficient backpropagation?
25331
Online estimation of variance with limited memory
145300
A list of cost functions used in neural networks, alongside applications
135655
Using (leaky) ReLU as an activation function
44904
Neural Networks input data normalization and centering
86032
How to determine the confidence of a neural network prediction?
80182
Deriving the KL divergence loss for VAEs
72547
Textbook on the *theory* of neural nets/ML algorithms?
112722
Can a neural network compute $y = x^2$?
17817
Diagram of an artificial neural network
84451
Role derivative of sigmoid function in neural networks
19651
What are the advantages of ReLU over sigmoid function in deep neural networks?
34513
Identifiability of neural network models
79824
Varied Activation Functions in Neural Networks