Data Entry
Enter your data, import a CSV/TSV file, or load a demo dataset.
Bayesian Neural Network — MC Dropout
MC Dropout for Bayesian uncertainty estimation
RBF Neural Network — Time Series Forecasting
Radial Basis Function network with k-means++ centres for non-linear forecasting
FNN Builder
General multi-layer feedforward network with a per-layer activation choice.
Available activations: relu, tanh, sigmoid, gelu
LSTM — Recurrent Neural Network
Full 4-gate LSTM with backprop-through-time — sequence forecasting.
1D CNN — Sequence Convolution
Convolution + max-pooling + dense readout for sequence forecasting.
Transformer — Mini Self-Attention Encoder
Single-head self-attention + positional encoding + feedforward.