query: What are the differences between deep learning and neural networks?
positive_passages.docid: 153601
positive_passages.text: difference between neural network and deep learning
negative_passages.docid: 151892
negative_passages.text: How do you visualize neural network architectures?
negative_passages.docid: 34513
negative_passages.text: Identifiability of neural network models
negative_passages.docid: 26355
negative_passages.text: Guideline to select the hyperparameters in Deep Learning
negative_passages.docid: 66728
negative_passages.text: What are good initial weights in a neural network?
negative_passages.docid: 6048
negative_passages.text: What should I do when my neural network doesn't learn?
negative_passages.docid: 60956
negative_passages.text: Difference of Activation Functions in Neural Networks in general
negative_passages.docid: 31073
negative_passages.text: "Hidden layer sizes" vs "Hidden layers sizes"
negative_passages.docid: 14605
negative_passages.text: Why use gradient descent with neural networks?
negative_passages.docid: 94732
negative_passages.text: Why do neural networks need so many training examples to perform?
negative_passages.docid: 112504
negative_passages.text: How to set the number of neurons and layers in neural networks
negative_passages.docid: 84469
negative_passages.text: Is there a thumb-rule for designing neural-networks?
negative_passages.docid: 95839
negative_passages.text: What *is* an Artificial Neural Network?
negative_passages.docid: 149395
negative_passages.text: Neural network - meaning of weights
negative_passages.docid: 110656
negative_passages.text: The Two Cultures: statistics vs. machine learning?
negative_passages.docid: 123017
negative_passages.text: How does a back-propagation training algorithm work?
negative_passages.docid: 85010
negative_passages.text: What're the differences between PCA and autoencoder?