Neural Networks

Implementation of the “Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning” paper, utilizing Evolutionary Computing to train a Neural Network and enhancing its performance through KNN Partitioning for flexible decision boundaries, with interactive Streamlit visualization.

Implementation of backpropagation algorithm in a three-layer feedforward neural network using the IRIS dataset.

Implementing a feedforward neural network and exploring its inner workings through a step-by-step approach.

Exploring methods to reduce bias and variance in a neural network model trained on the Diabetes dataset.

Exploring effective strategies for hyperparameter tuning to enhance the performance of neural network models using the IMDB dataset.

Implementing a neural network for image classification on the Fashion MNIST dataset to achieve accurate predictions.

Performing various optimization techniques on a neural network using the IRIS dataset and evaluating their performances.