What should be examined when feedforward neural network does not fit the training set well?
6048
What should I do when my neural network doesn't learn?
82239
Accuracy in neural network for regression
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
74904
Random initialization/order in neural network — bias or variance?
16571
How to know the model has started overfitting?
60728
Is it possible to fix the weight of a certain layer during neural network training?
77118
What did my neural network just learn? What features does it care about and why?
135987
Better accuracy with validation set than test set
91448
Should I normalize all data prior feeding the neural network models?
94732
Why do neural networks need so many training examples to perform?
84407
How to judge if a supervised machine learning model is overfitting or not?
58047
Decision Trees and Regression - Can predicted values be outside range of training data?
44780
Are RSS and R^2 related to training error only?
91880
Suggestions for cost-sensitive learning in a highly imbalanced setting
77590
Highly unbalanced test data set and balanced training data in classification
156390
Gradient Boosting for Linear Regression - why does it not work?
103939
Why doesn't regularization solve Deep Neural Nets hunger for data?