How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
Garrett B. GohCharles SiegelAbhinav VishnuNathan O. HodasNathan BakerPublished in: CoRR (2017)
Keyphrases
- neural network
- artificial neural networks
- back propagation
- neural network is trained
- neural network model
- learning vector quantization
- feedforward neural networks
- feed forward neural networks
- machine learning
- multilayer perceptron
- back propagation neural network
- belief nets
- organic chemistry
- deep architectures
- real time
- image reconstruction from projections
- desired output
- hybrid intelligent
- single layer
- activation function
- multi layer perceptron
- network architecture
- multi layer
- bp neural network
- associative memory
- feed forward
- fault diagnosis
- image sequences
- decision trees
- decision making
- data mining
- real world