Using Transfer Learning and TensorFlow to Classify Different Dog Breeds (Machine Learning and Data Science course)
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Updated
Feb 14, 2022 - Jupyter Notebook
Using Transfer Learning and TensorFlow to Classify Different Dog Breeds (Machine Learning and Data Science course)
This face mask detector is accurate, and since we used the MobileNetV2 architecture, it’s also computationally efficient, making it easier to deploy the model to embedded systems.
This repository contains source code of Tomato Disease prediction using mobilenetv2
Developed lightweight MobileNetV2 face mask detection model for identifying a person wearing a mask or not .
Detect Malaria from an input Image,Implemented Using Fast.AI
Face Mask Detector - Open CV & DNN
Object Detection in Twilight
An application to monitor social distancing in real-time using deep learning and computer vision
OpenVINO 訓練後優化工具 Post-Training Optimization Tool (POT) 測試用迷你ImageNet 2012版驗證集影像、標註及標籤檔。(僅供測試請勿移作它用)
Discriminate wind turbines from grounds
object detection using mobilenetV2 SSDlite model
This is a project focused on identifying the presence of pneumonia in chest X-ray images. Each image can be classified into one of three categories: Bacterial Pneumonia, Viral Pneumonia, or Normal.
A binary classifier to test whether an image belongs to the "hot dog" class or the "not hot dog" class, as seen on HBO's Silicon Valley.
Алгоритмы Data Science и их практическая реализация на Python
Real-time Face Mask Detection using MobileNetV2 and OpenCV
Implementation of Mobilenet V2 for binary image classification of dogs and cats using Keras and TensorFlow. 📚 Trained on a dataset of dogs and cats images, with customizable scripts for training, testing, and prediction on new data. 📊🛠️
Solutions to the Advanced CNN course by the Lazy Programmer and all CNN Models I've worked on
Repository to demonstrate the use of transfer learning with TFHub
🤖️ Optimized CUDA Kernels for Fast MobileNetV2 Inference
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