Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks.
Yuan CaoQuanquan GuPublished in: NeurIPS (2019)
Keyphrases
- sample complexity
- learning algorithm
- learning problems
- convolutional neural networks
- hidden layer
- active learning
- supervised learning
- feedforward neural networks
- upper bound
- neural nets
- lower bound
- neural network
- learning tasks
- back propagation
- artificial neural networks
- theoretical analysis
- reinforcement learning
- prior knowledge
- learning process
- kernel function
- sample size
- radial basis function
- multilayer perceptron
- bp neural network
- learning rate
- training data
- feature space