These are some of the projects from my Neural Networks class (CSC-329) at Union College. Each folder goes through the project description.
Most of the datasets are from https://archive.ics.uci.edu/ml/datasets.
You may use these code as examples with proper citation and please
Fork.
🗒️ Most projects were done individually except some projects have collaborators for testing different models.
| Topic | Description | Contributor |
|---|---|---|
| Simple Neuron Models & Numpy | Single recurrent Neuron Model and getting started with Pandas, Numpy, Matplotlib | Ali Ahmed Khan, Kyle Scheik, Benjamin Davis |
| Perceptron | Implementation of a single Perceptron with multi-input and single output with step activation function | Ali Ahmed Khan |
| Delta Rule | Implementation of Delta Rule using sigmoid activation function and MSE (Mean Squared Error). Also has a comparison between Stochastic and Batch training. | Ali Ahmed Khan |
| Tensorflow and Neural Networks Application | Predict someone possibly being diabetic through medical data using Neural Network | Ali Ahmed Khan |
| Regression & Classification | Predicts missing data from Credit_Approval.csv and do a classification of SaratogaHomes |
Ali Ahmed Khan, Kyle Scheik |
| Classification of RedWineQuality and SaratogaHomes | Classification of RedWineQuality.csv and SaratogaHomes.csv using K-Folds for limited data. |
Ali Ahmed Khan |
| MNIST | Convolution Neural Network model for classifying image from MNIST database | Ali Ahmed Khan |
| Material Classification | Classification of Cardboard, Glass, Metal, Paper, and Plastic from images | Ali Ahmed Khan |
