machrisaa/tensorflow-vgg
TensorFlow implementation of VGG16 and VGG19 pre-trained CNN models for image classification and feature extraction.
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This repository provides Python implementations of the VGG16 and VGG19 convolutional neural network architectures in TensorFlow. It loads pre-trained weights from numpy files to enable image classification and feature extraction tasks. The implementation supports using the models as feature extractors by accessing intermediate layer tensors, and includes a trainable version that allows fine-tuning or training from scratch.
Frequently asked
- What is machrisaa/tensorflow-vgg?
- TensorFlow implementation of VGG16 and VGG19 pre-trained CNN models for image classification and feature extraction.
- Is tensorflow-vgg open source?
- Yes — machrisaa/tensorflow-vgg is an open-source project tracked on heatdrop.
- What language is tensorflow-vgg written in?
- machrisaa/tensorflow-vgg is primarily written in Python.
- How popular is tensorflow-vgg?
- machrisaa/tensorflow-vgg has 2.2k stars on GitHub.
- Where can I find tensorflow-vgg?
- machrisaa/tensorflow-vgg is on GitHub at https://github.com/machrisaa/tensorflow-vgg.