星火计划-做AI领域的独家，所有文章旨在技术传播和交流学习，非商业用途。

Minimalistic Multiple Layer Neural Network from Scratch in Python.

NKU_2022Fall Python language programming project. 虚假新闻检测项目，分别使用机器学习、深度学习和bert方法完成任务

A resource for everyone, who wants study about AI

The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language processing, our model achieved a high accuracy of 96.61%. The model was trained on Twitter data and tested on a data comment dataset from Binance.

The best chats with artificial intelligence

I have developed a project using a CNN model to detect diseases in three plants: potato, tomato, and pepper. Despite limited resources, I trained separate models for each disease and successfully integrated them into a Streamlit app. The accuracy achieved on these three plants is remarkably high.

Predict 8 future numbers with 800 numbered data artificial intelligence deep learning

Welcome to the DL Projects Repository! This repository hosts a collection of my deep learning projects, showcasing my expertise and contributions in various domains of deep learning. Each project focuses on solving unique challenges using cutting-edge deep learning techniques and architectures.

Project on Automated Detection of Hazards for Space Apps Challenge 2020

=0学习笔记

This project is a technology demonstrator for performing English to Hindi translation on images using OCR using pre-trained model

NemaDataSet containing 3,063 microscopic images of the five species of phytonematodes with the greatest damage relevance to soybean crops.

삼성멀티캠퍼스 데이터 분석 심화과정

基于多搜索引擎和深度学习技术的自动问答

🔍 A deep learning project utilizing YOLOv5 for real-time object detection

Video captures a cross-section of our society. And major advances in analyzing and understanding video have the potential to touch all aspects of life from learning and communication to entertainment and play.

基于Resnet101, 微调, 完成图像检索任务