query: Deep learning basics
positive_passages.docid: 145253
positive_passages.text: How can an undergraduate learn more about deep learning?
negative_passages.docid: 79824
negative_passages.text: Varied Activation Functions in Neural Networks
negative_passages.docid: 100545
negative_passages.text: Number of nodes in hidden layers of neural network
negative_passages.docid: 145300
negative_passages.text: A list of cost functions used in neural networks, alongside applications
negative_passages.docid: 75450
negative_passages.text: How does rectilinear activation function solve the vanishing gradient problem in neural networks?
negative_passages.docid: 66728
negative_passages.text: What are good initial weights in a neural network?
negative_passages.docid: 109966
negative_passages.text: How does the Adam method of stochastic gradient descent work?
negative_passages.docid: 92956
negative_passages.text: Is it possible to train a neural network without backpropagation?
negative_passages.docid: 25120
negative_passages.text: Can't deep learning models now be said to be interpretable? Are nodes features?
negative_passages.docid: 133566
negative_passages.text: Deep Neural Network weight initialization
negative_passages.docid: 83377
negative_passages.text: Deep learning model (LSTM) with temporal and non temporal attributes
negative_passages.docid: 95485
negative_passages.text: Does ReLU layer work well for a shallow network?
negative_passages.docid: 44176
negative_passages.text: Deep Learning for Regression
negative_passages.docid: 112504
negative_passages.text: How to set the number of neurons and layers in neural networks
negative_passages.docid: 70893
negative_passages.text: How to Identify Overfitting in Convolutional Neural network?
negative_passages.docid: 31297
negative_passages.text: Why do we use ReLU in neural networks and how do we use it?
negative_passages.docid: 69676
negative_passages.text: Keras CNN with low/constant accuracies