query: Keras autoencoder example – why ReLU?
positive_passages.docid: 19651
positive_passages.text: What are the advantages of ReLU over sigmoid function in deep neural networks?
negative_passages.docid: 59720
negative_passages.text: What are appropriate methods for preparing categorical features for recurrent networks to ensure efficient backpropagation?
negative_passages.docid: 88957
negative_passages.text: Why do we use Gaussian distributions in Variational Autoencoder?
negative_passages.docid: 93143
negative_passages.text: Why do we need autoencoders?
negative_passages.docid: 58793
negative_passages.text: Why can't a single ReLU learn a ReLU?
negative_passages.docid: 86077
negative_passages.text: A few clarifications regarding convolutional neural networks
negative_passages.docid: 138904
negative_passages.text: Recursive feature elimination and one-hot & dummy encoding?
negative_passages.docid: 38690
negative_passages.text: Why are non zero-centered activation functions a problem in backpropagation?
negative_passages.docid: 98111
negative_passages.text: Sigmoid vs Relu function in Convnets
negative_passages.docid: 1456
negative_passages.text: How does the reparameterization trick for VAEs work and why is it important?
negative_passages.docid: 110479
negative_passages.text: Why doesn't backpropagation work when you initialize the weights the same value?
negative_passages.docid: 133566
negative_passages.text: Deep Neural Network weight initialization
negative_passages.docid: 155503
negative_passages.text: R: lm() result differs when using `weights` argument and when using manually reweighted data
negative_passages.docid: 40850
negative_passages.text: How does AdamW weight_decay works for L2 regularization?
negative_passages.docid: 455
negative_passages.text: Recurrent vs Recursive Neural Networks: Which is better for NLP?
negative_passages.docid: 18549
negative_passages.text: In a Transformer model, why does one sum positional encoding to the embedding rather than concatenate it?
negative_passages.docid: 135655
negative_passages.text: Using (leaky) ReLU as an activation function