RAY
Neural network
Perceptron
LSTM
Network Structure
Perceptron structure:
Input layers number:
Hidden layers number:
Add hidden layer
Remove last hidden layer
Output layers number:
Training data:
Parameters:
Learning rate:
Iterations:
Error rate:
Shuffle
Cost
ENTROPY
MSE
BINARY
TRAIN
Save / Load Network
SAVE
LOAD
Network Visualization
Weights table
From
To
Weight
Bias table
Neuron
Bias
Final error:
Network Testing
Input:
Results:
Input data
Result
Expected
Variance
Test