Maximum likelihood of a neural network vs crossentropy loss
37027
the relationship between maximizing the likelihood and minimizing the cross-entropy
112810
Bernoulli maximum likelihood
56397
Why do smaller weights result in simpler models in regularization?
28675
Relationship between the probability and likelihood functions
79038
When will L1 regularization work better than L2 and vice versa?
22203
Data normalization and standardization in neural networks
108205
Should I use a categorical cross-entropy or binary cross-entropy loss for binary predictions?
148673
Comparison of log-likelihood of two non-nested models
22668
Linear vs. nonlinear regression
27266
XGBoost Loss function Approximation With Taylor Expansion
24907
Is there a Bayesian interpretation of linear regression with simultaneous L1 and L2 regularization (aka elastic net)?
98111
Sigmoid vs Relu function in Convnets
110124
When does decision tree perform better than the neural network?
66728
What are good initial weights in a neural network?
142078
ReLu vs a linear activation function
158991
Which loss function is correct for logistic regression?
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence