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eantcal edited this page Jul 7, 2026 · 3 revisions

Examples Gallery

Example Main model Purpose
and_test Perceptron AND function
xor_test MlpNN XOR and non-linear separation
mnist_test MlpMatrixNN / MlpNN MNIST digit recognition
ocr_test MlpMatrixNN / MlpNN Interactive handwritten digit OCR and MNIST training
tictactoe MlpNN Console Tic Tac Toe
winttt MlpNN Windows GUI Tic Tac Toe
hopfield_test HopfieldNN Pattern recall
rnn_sine VanillaRnn / GRU / LSTM Sine-wave prediction
rnn_char VanillaRnn / GRU / LSTM Character-level language model
rnn_adding VanillaRnn / GRU / LSTM Adding problem benchmark
ae_demo Autoencoder Reconstruction / compression
rbf_demo RBF Function approximation
cnn_seq ConvNet 1D sequence classification
transformer_char MiniTransformer Character-level autoregressive generation
maze Q-learning / SARSA Grid-world navigation
path_finder Q-learning / SARSA Graph path solving
dqn_maze DQN Neural Q-learning on a grid world
kmeans_demo KMeans Clustering
pca_demo PCA Dimensionality reduction
linear_regression_demo LinearRegression Regression with OLS / gradient descent
net2json Tool Convert legacy .net models to JSON

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