From Patterson Maps to Atomic Coordinates: Training a Deep Neural Network to Solve the Phase Problem for a Simplified Case.
David HurwitzPublished in: CoRR (2020)
Keyphrases
- neural network
- training phase
- training algorithm
- training process
- feed forward neural networks
- artificial neural networks
- neural network training
- multi layer perceptron
- network architecture
- training patterns
- feedforward neural networks
- feed forward
- associative memory
- test set
- back propagation
- supervised learning
- pattern recognition
- neural nets
- preprocessing phase
- deep architectures
- multi layer
- prediction model
- self organizing maps
- training set
- training data
- decision trees