This project implements a Convolutional Neural Network (CNN) for binary image classification. The model features automated data preprocessing, GPU optimization, and comprehensive evaluation metrics.

This repository contains a project focused on binary image classification using neural networks. The implementation leverages Jupyter Notebooks to provide a detailed walkthrough of the classification ...

For the classification task, neural network-based approaches attempt to distinguish between two distributions by determining the joint distribution of input variables for each class. However, the most ...

When using the scikit library for binary classification, the main alternative to the MLPClassifier neural network module is the scikit DecisionTreeClassifier module. Decision trees are useful for ...

Recurrent neural network (RNN) is suitable for sequential cases because they have feedback in their structure to recognize a dynamic behavior and a sequential pattern in time-series data. However, in ...

An alternative to manual design is “neural architecture search” (NAS), a series of machine learning techniques that can help discover optimal neural networks for a given problem.