How does permutation of training data improve convergence time when training a perceptron or neural network model?
59364
Why should the data be shuffled for machine learning tasks
126800
Why do we use multiple epochs and why does it not lead to over fitting
16209
Importance of optimizing the correct loss function
43932
Does the recurrent neural network require the length of input samples all the same
145791
What is batch size in neural network?
13041
Using neuralnet with caret train and adjusting the parameters
79498
Best methods to solve class imbalance problem and why?
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
58515
dropout: forward prop VS back prop in machine learning Neural Network
19651
What are the advantages of ReLU over sigmoid function in deep neural networks?
53204
Can weight decay be higher than learning rate
138385
Why does the first forward pass in a neural-network (NN) classification model computes to zero for all classes before final activation?
110124
When does decision tree perform better than the neural network?
79824
Varied Activation Functions in Neural Networks
10855
How to use early stopping properly for training deep neural network?
145417
Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm?
455
Recurrent vs Recursive Neural Networks: Which is better for NLP?