optimizers in deep learning
109966
How does the Adam method of stochastic gradient descent work?
10855
How to use early stopping properly for training deep neural network?
26355
Guideline to select the hyperparameters in Deep Learning
123017
How does a back-propagation training algorithm work?
14605
Why use gradient descent with neural networks?
17595
Deep learning basics
84469
Is there a thumb-rule for designing neural-networks?
58402
Importance of the bias node in neural networks
110124
When does decision tree perform better than the neural network?
63655
Neural network with skip-layer connections
99025
Actual impact of W=0 in a neural network
79882
Explanation of Spikes in training loss vs. iterations with Adam Optimizer
145300
A list of cost functions used in neural networks, alongside applications
19651
What are the advantages of ReLU over sigmoid function in deep neural networks?
84451
Role derivative of sigmoid function in neural networks
136852
Convolution operator in CNN and how it differs from feed forward NN operation?
75450
How does rectilinear activation function solve the vanishing gradient problem in neural networks?