Simple neural network implementation for MNIST digit classification, built from scratch with NumPy. Based on Michael Nielsen's "Neural Networks and Deep Learning", adjusted slightly for my Youtube ...

This project focuses on building and evaluating classifiers to recognize handwritten digits from the MNIST dataset, using Principal Component Analysis (PCA) and various Classifiers - kutaydemiralay ...

Seizure classification is vital for the management of people with seizures and epilepsy, as the type of seizure can determine therapeutic options. Specific seizure types often respond best to targeted ...

Acoustic separation and classification technology' is a next-generation artificial intelligence (AI) core technology that ...

Pattern recognition process is composed of three main steps: preprocessing, feature extraction and classification. Characteristic features and an efficient classifier are the key elements of ...