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Products / NeuroFusion / Feature Set
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Data Preprocessing
- Dataset size limited only by available memory
- Input data types: numerical and categorical
- Automatic preprocessing before training
- Automatic numerical columns scaling
- Automatic categorical columns encoding
Training
- Automatic problem type determination (classification or regression)
- Automatic network design and training
- Automatic and manual control of training stopping conditions
- Generalization loss control
- Full control of the training process, including pausing and stopping
- Real-time information about training progress
- 3 types of network errors: AE, MSE, CCR
Network Application
- The ability to save and load a network at any time you need
- Use a just created or loaded network to apply it to new data and get neural network reply
General
- Low resource requirements
- Example programs included in source form
- Support of load and save operations
- The Online Manual includes Chapter "Introduction in Neural Networks"
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