Why binary crossentropy can be used as the loss function in autoencoders?
54989
Why is binary cross entropy (or log loss) used in autoencoders for non-binary data
132334
Is it okay to use cross entropy loss function with soft labels?
22005
Is the logit function always the best for regression modeling of binary data?
89330
Machine Learning - Where is the difference between one-class, binary-class and multinominal-class classification?
79882
Explanation of Spikes in training loss vs. iterations with Adam Optimizer
126373
Can we use MLE to estimate Neural Network weights?
66728
What are good initial weights in a neural network?
102544
Why should one use EM vs. say, Gradient Descent with MLE?
156390
Gradient Boosting for Linear Regression - why does it not work?
123715
Why is it important to include a bias correction term for the Adam optimizer for Deep Learning?
98111
Sigmoid vs Relu function in Convnets
27266
XGBoost Loss function Approximation With Taylor Expansion
3809
What does 1x1 convolution mean in a neural network?
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
61083
Why is Newton's method not widely used in machine learning?
17982
In plain language, why is there no VIF for binary outcome regression models?
16503
is there any diffrence to use nonlinear or liner activation function in single hidden layer network