Vietnamese Student Feedback Sentiment Analysis
UNet detection of road networks and buildings
Monitor the environs of the house with multiple cameras and Raspberry Pi, Python, MQTT and Node-Red.
LIME ile Makine Öğrenmesi Modellerini Açıklamak - Demo ResNet50 derin öğrenme modelinin görsel sınıflandırma kararlarını LIME (Local Interpretable Model-agnostic Explanations) algoritması kullanarak açıklayan ve görselleştiren Python projesi. GPU desteği ile hızlı işlem sağlar.
Detect Traffic lights using YoloV4 and use CNN for more accurately classifying the state of traffic lights
In progress: Deep Learning Projects
This project implements a Siamese Neural Network for efficient image triplet analysis, seamlessly integrating OpenCV for image collection. Three categories of images - positive, negative, and anchor - are collected using OpenCV and preprocessed to standardize dimensions to 100x100 pixels in JPEG format.
2nd Place Winner @silicon Hacks 2024 - SJFit.Ai is designed for San Jose State University students and anyone looking to lead a fit lifestyle. This application tracks users' physical activity by analyzing joint angles.
Building a simple chat-bot using Microsofts MetaLWOz dataset.
This document describes rice image classification using TensorFlow with the Kaggle dataset. The process includes preprocessing, resolution changes, 80:20 data split, and training a Sequential CNN model using Adam optimizer and EarlyStopping, stopping at epoch 2 when accuracy reaches 97%. The model is converted to TFLite, TensorFlow.js, and SavedMod
Industry 4.0 collaborations with Control2K, for using AI on IOT devices to analyse factory machinery
Data preprocessing and visualization using Python.
Predicting income levels (>50K) using Deep Learning (MLP) on the UCI Adult Census Income Dataset with Python, TensorFlow, and Keras.
This project explains how to move from a Jupyter notebook phase to a production ready training script that can run in a distributed training mode using Azure ML, Horovod and TF
A Flask web application using CNN to classify Mridangam strokes from audio files, with training scripts and real-time prediction features.
Windows 12? Nah, just a deep learning project
Food Vision model for 101 different food classes
🌟 Explain visual classifications using LIME with ResNet50 to enhance understanding of deep learning model predictions and their influencing factors.
To associate your repository with the tensforflow topic, visit your repo's landing page and select "manage topics."