VGG16 Net TensorFlow Implementation for ImageNet2012 dataset
-
Updated
Dec 27, 2018 - Python
VGG16 Net TensorFlow Implementation for ImageNet2012 dataset
Train VGG11 on MNIST with observation and improvement
This project trains a SSD300 with VGG11 base on the PASCAL VOC 2005 dataset using the PyTorch deep learning framework.
Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).
Final project of Cognitive Computing System course
MNIST Classification using GMM and VGG
Robotic Vision Course final project. 12th semester
The project aim to experiment implementing a modular architecture: an early-exit model and testing it using Tensorflow.
🔪 Elimination based Lightweight Neural Net with Pretrained Weights
The goal of this project is to devise an accurate CNN-based classifier able to distinguish between Cat and Dog in images where the animal is predominant.
Add a description, image, and links to the vgg11 topic page so that developers can more easily learn about it.
To associate your repository with the vgg11 topic, visit your repo's landing page and select "manage topics."