Training Magic-gamma-telescope. Training, Validation, test dataset. KNN. Naive Bayes. Log Regression. Neural Netowrks

5 neural networks I built to categorize videos of hand signs.

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Neural network testing ground

Neural Network surrogate model replacing a Simulink coffee roasting simulation for real-time MPC. Predicts bean temperature and moisture content over a 30-second horizon. Includes APRBS data generation, lagged-state MLP training, Optuna tuning, and open-loop validation.

A short two-part project involving using an MLP and a CNN for ECG signal data

building a CNN flower classification model to classify flower images data into 102 given categories

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it checks whether the uploaded document is trust worthy or not. The model in the app is trained well , the neural network weights and parameters can be adjusted with the help of user interaction by reinforcement learning and it can self adjust.