How to Choose Loss Functions When Training Deep Learning Neural Networks
Mean Squared Error Loss
Mean Squared Logarithmic Error Loss
Mean Absolute Error Loss
Binary Classification Loss Functions
Binary Cross-Entropy Loss
Hinge Loss
Squared Hinge Loss
Multi-Class Classification Loss Functions
Multi-Class Cross-Entropy Loss
Sparse Multiclass Cross-Entropy Loss
Kullback Leibler Divergence Loss
How to Fix Vanishing Gradients Using the Rectified Linear Activation Function
Deeper MLP Model with ReLU for Two Circles Problem
Review Average Gradient Size During Training
How to Develop a Weighted Average Ensemble for Deep Learning Neural Networks
Multilayer Perceptron Model
Model Averaging Ensemble
Grid Search Weighted Average Ensemble
Weighted Average MLP Ensemble