How is RELU used on convolutional layer
135655
Using (leaky) ReLU as an activation function
98111
Sigmoid vs Relu function in Convnets
19651
What are the advantages of ReLU over sigmoid function in deep neural networks?
41356
Reason for square images in deep learning
83377
Deep learning model (LSTM) with temporal and non temporal attributes
40850
How does AdamW weight_decay works for L2 regularization?
98554
Deep NNs, backpropagation and error calculation
77728
How does the Rectified Linear Unit (ReLU) activation function produce non-linear interaction of its inputs?
126800
Why do we use multiple epochs and why does it not lead to over fitting
127053
How to apply Cross Entropy on Rectified Linear Units
75450
How does rectilinear activation function solve the vanishing gradient problem in neural networks?
59720
What are appropriate methods for preparing categorical features for recurrent networks to ensure efficient backpropagation?
79882
Explanation of Spikes in training loss vs. iterations with Adam Optimizer
95509
Why is the sum of two random variables a convolution?
109966
How does the Adam method of stochastic gradient descent work?
137086
Can Convolution Neural Network be useful with encoded categorical features?
93143
Why do we need autoencoders?