A binary classification using Convolution Neural Network (CNN, or ConvNet) model.

Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

Categorize faces based on emotions (Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral) using deep learning. This project preprocesses data, develops models, and assesses performance with VGG16 and InceptionV3 architectures. Explore data augmentation, custom models, and detailed evaluations.

Deep Learning Courses

Deep Learning Courses

Crop Disease Detection and Remediation Chatbot Developer

Real-time recognition of handwritten mathematical notations achieved through transfer learning with a pre-trained VGG16 CNN model, fine-tuned for superior accuracy.

A model for predicting short antimicrobial peptides (length <=30 residues) using multiple features and deep learning approaches

Deep Learning Breast MRI Segmentation and Classification

Monografía presentada para optar al título de Especialista en Analítica y Ciencia de Datos

Bài tập lớn: Trí tuệ nhân tạo

This generates a concise and contextual summary for a given cricket match video utilizing only visual information

GreenGuard is a cutting-edge picture classification initiative that aims to transform agriculture by giving farmers an automated way to identify plant illnesses early on. In order to reduce crop losses and enhance farming methods, GreenGuard uses a convolutional neural network to detect and categorize sick plants.

Predict Flower Species with Pre-trained Model

end-to-end face regontion project based on tensorflow

The Plant Disease Detection Web Application, known as 'CultiKure,' is a web-based tool designed to assist users in the early detection and management of plant diseases. Powered by the state-of-the-art VGG model and built with Flask, this application leverages advanced AI technology to analyze images of plant leaves.

The basic course of artificial intelligence of BJTU, 12 kinds of animal recognition based on paddlepaddle framework

VGG-16 | Deep learning