A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

Training a face Recognizer using ResNet50 + ArcFace in TensorFlow 2.0

Using Tensorflow to implement a ResNet50 for Cross-Age Face Recognition

Faster rcnn based on tensorflow and resnet50

基于Keras+Tensorflow搭建，提供ResNet50神经网络的图片分类平台。

This is an experimental code to train a ResNet-50 made entirely in Tensorflow on Dogs-vs-Cats-Redux

项目描述：项目基于 CNN，通过深度学习技术自动分类垃圾，以提高垃圾分类的效率和准确性。系统集成了多种先进 的图像识别模型，如 MobileNetV2、ResNet50 和 EfficientNetB0，以适应不同的计算需求和环境限制。 项目实现：利用 Python 编程语言和 TensorFlow 框架，项目实现了从数据采集、预处理到模型训练和部署的完整流程。通 过构建 Flask Web 应用，用户可以上传垃圾图片，系统自动识别并分类，准确率高达 98%。

Tensorflow 2.x Image Regression ResNet50 Model

Custom implementation of ResNet50 Image Classification model using pure TensorFlow

End-to-end Deep Learning pipeline for plant disease classification. Features a ResNet50 architecture trained on 38 classes, wrapped in a scalable deployment pipeline for real-time inference. Built with TensorFlow and Docker.

A Tensorflow 2.0 implementation of Squeeze and Excitation ResNet50 Networks (SEResNet)

This project is a deep learning model for lung cancer prediction, trained on a dataset containing images of different types of lung cancer and normal lung CT scans. The model was created using TensorFlow and Keras, and uses transfer learning with pre-trained models like ResNet50, VGG16, and MobileNetV2.

The repository contains the code for the implementation of ResNet50 Vision Transformer in the TensorFlow framework.

ML (PCA+SVM based Python、BOW+SVM based Matlab), DL (pytorch、tensorflow、ResNet50+fine-tune)

Tensorflow 2.x Image Classification ResNet50 Model

Build ResNet50 with tensorflow, load the pretrained parameters' weights

Building a 50-layer ResNet model from scratch using Tensorflow and Keras. Training it first on CPU (very slow), then on Kaggle GPU (for a significant improvement in speed).

Implementation of iPhone X's FaceID in TensorFlow using ResNet50 / Batch Hard Triplet Loss

An image recommendation Deep Learning Model using Tensorflow's Resnet50

An implementation of resnet50 model from the paper "Deep residual learning for image recognition" by Kaiming He et.al in keras using tensorflow backend

We have carried out binary semantic segmentation to detect wildfire and smoke. We used 4 bakbone architectures- Mobile Vision Transformer- Small and Extra Small Variant , Mobilenetv3 -Large variant and ResNet50. These backbone architectures were integrated with Deeplabv3+ segmentation framework. Codes have been implemented using tensorflow.

🦷A deep learning project to classify dental images using CNNs, Transfer Learning (Xception, ResNet50), and Fine-Tuning techniques with TensorFlow.🦷

Implemented convolutional neural network GoogLeNet with Inception modules and Ensemble of Inception V3, Xception, ResNet50 using transfer learning to detect invasive hydrangea in Brazilian national forest images dataset from Kaggle. Programmed in Keras using TensorFlow backend.

tensorflow implementation of Resnet50 with tf.keras.model and eager

This repository includes ResNet18, ResNet34, ResNet50, ResNet101, ResNet152 in Tensorflow 2.

Image Clustering with ResNet50 & K-Means: A Python tool that uses deep learning feature extraction and unsupervised learning to automatically organize image collections into meaningful groups. Built with TensorFlow/Keras and scikit-learn.

鸟类识别系统Python+卷积神经网络算法+深度学习+人工智能+TensorFlow+ResNet50算法模型+图像识别+计算机毕业设计