VGG19_with_tensorflow
Image classifier
An implementation of VGG19 using TensorFlow and OpenCV for image classification
An easy implement of VGG19 with tensorflow, which has a detailed explanation.
178 stars
10 watching
77 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list
deep-learning-tutorialtensorflowvgg
Related projects:
Repository | Description | Stars |
---|---|---|
yeephycho/nasnet-tensorflow | A toolkit for training and deploying a state-of-the-art image classification architecture on TensorFlow | 136 |
androidthings/sample-tensorflow-imageclassifier | An Android Things project that uses TensorFlow Lite to classify images from a camera and provide spoken results. | 622 |
chenxi116/pnasnet.tf | An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. | 102 |
arunmichaeldsouza/tensorflow-image-detection | A tool for training and classifying images using Google's Inception model and TensorFlow | 328 |
felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 365 |
matlab-deep-learning/image-classification-in-matlab-using-tensorflow | This project demonstrates how to call a TensorFlow model from MATLAB using co-execution with Python. | 51 |
marvinteichmann/tensorflow-fcn | An implementation of a fully convolutional network architecture for image segmentation using VGG weights. | 1,101 |
t73liu/tfjs-starter | An Expo-based React Native application using TensorFlow.js to detect objects in images with MobileNet | 10 |
taki0112/resnext-tensorflow | An implementation of ResNeXt architecture for image classification on Cifar10 using TensorFlow | 158 |
brade31919/srgan-tensorflow | Tensorflow implementation of a generative adversarial network for single image super-resolution | 849 |
neuralix/google_evolution | A Python implementation of an exotic image classifier architecture inspired by Google's evolution of image classifiers | 53 |
tensorflow/haskell | Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language. | 1,582 |
tensorflow/mesh | A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. | 1,592 |
hellochick/pspnet-tensorflow | A TensorFlow-based implementation of a semantic segmentation network for image classification tasks | 326 |
apcode/tensorflow_fasttext | An open-source implementation of a text classification system using word embeddings and TensorFlow. | 302 |