query: Neural net: Cost goes down but performance on train isnt!
positive_passages.docid: 145878
positive_passages.text: Overfitting on the loss graph, but not the accuracy graph
negative_passages.docid: 94732
negative_passages.text: Why do neural networks need so many training examples to perform?
negative_passages.docid: 4873
negative_passages.text: Optimization when Cost Function Slow to Evaluate
negative_passages.docid: 136197
negative_passages.text: Normalizing the final weights vector in the upper bound on the Perceptron's convergence
negative_passages.docid: 25406
negative_passages.text: What is the difference between a neural network and a deep neural network, and why do the deep ones work better?
negative_passages.docid: 94221
negative_passages.text: What causes sudden drops in training/test errors when training a neural network?
negative_passages.docid: 145300
negative_passages.text: A list of cost functions used in neural networks, alongside applications
negative_passages.docid: 122549
negative_passages.text: decision boundary of perceptron too small
negative_passages.docid: 119072
negative_passages.text: Neural network in MATLAB
negative_passages.docid: 109966
negative_passages.text: How does the Adam method of stochastic gradient descent work?
negative_passages.docid: 38573
negative_passages.text: Back-propagation through max pooling layers
negative_passages.docid: 63655
negative_passages.text: Neural network with skip-layer connections
negative_passages.docid: 31297
negative_passages.text: Why do we use ReLU in neural networks and how do we use it?
negative_passages.docid: 58845
negative_passages.text: Neural networks output probability estimates?
negative_passages.docid: 6048
negative_passages.text: What should I do when my neural network doesn't learn?
negative_passages.docid: 133566
negative_passages.text: Deep Neural Network weight initialization
negative_passages.docid: 103939
negative_passages.text: Why doesn't regularization solve Deep Neural Nets hunger for data?