When to use a Sigmoid function and when to use ReLu in a Convolutional Neural Network
98111
Sigmoid vs Relu function in Convnets
63611
What is translation invariance in computer vision and convolutional neural network?
84469
Is there a thumb-rule for designing neural-networks?
455
Recurrent vs Recursive Neural Networks: Which is better for NLP?
123358
What does the hidden layer in a neural network compute?
26355
Guideline to select the hyperparameters in Deep Learning
91913
Neural Network: For Binary Classification use 1 or 2 output neurons?
94250
Comprehensive list of activation functions in neural networks with pros/cons
58402
Importance of the bias node in neural networks
7027
What is the purpose of a neural network activation function?
113882
Why sigmoid function instead of anything else?
135655
Using (leaky) ReLU as an activation function
102544
Why should one use EM vs. say, Gradient Descent with MLE?
86077
A few clarifications regarding convolutional neural networks
59635
Stochastic gradient descent Vs Mini-batch size 1
79882
Explanation of Spikes in training loss vs. iterations with Adam Optimizer
110124
When does decision tree perform better than the neural network?