Repeated training examples in Gradient Descent
74904
Random initialization/order in neural network — bias or variance?
44176
Deep Learning for Regression
94732
Why do neural networks need so many training examples to perform?
87186
Gradient descent of $f(w)=\frac12w^TAw-b^Tw$ viewed in the space of Eigenvectors of $A$
93863
Uniform vs discrete Gaussian sampling in Ring learning with errors
138454
Determining sample size for ML algorithm validation
66215
Training a decision tree against unbalanced data
10855
How to use early stopping properly for training deep neural network?
63655
Neural network with skip-layer connections
65681
Should training data in each batch size be resample only one time or at each epoch when using mini-batch
140816
iterative programming
98312
First Iteration in Gradient Boosting Algorithm
123751
Restrictions on the use of universal generalization
145417
Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm?
66728
What are good initial weights in a neural network?
38075
What is the trade-off between batch size and number of iterations to train a neural network?
98554
Deep NNs, backpropagation and error calculation