Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).

基于Pytorch实现的VGG11和VGG16网络结构的CIFAR10分类任务。

This project trains a SSD300 with VGG11 base on the PASCAL VOC 2005 dataset using the PyTorch deep learning framework.

🔪 Elimination based Lightweight Neural Net with Pretrained Weights

VGG16 Net TensorFlow Implementation for ImageNet2012 dataset

Tìm hiểu mô hình VGG11 và ứng dụng

This project classifies internet memes using multimodal learning by combining textual and visual features. It performs offensive content detection and emotion classification leveraging the MultiOFF and Memotion-7k datasets. The model integrates ALBERT for text, VGG-11 for images, and BLIP-generated captions to improve understanding of meme sentimen

Fine-tuning a pretrained CNN.

The project aim to experiment implementing a modular architecture: an early-exit model and testing it using Tensorflow.

Robotic Vision Course final project. 12th semester

Predict Flower Species with Pre-trained Model

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.

VGG11 Data Augmentation for image processing

Transfer Learning and Feature Extraction Using VGG11 for Medical and Natural Image Classification

Train VGG11 on MNIST with observation and improvement

MNIST Classification using GMM and VGG

Final project of Cognitive Computing System course

This repository contains code for classfying images from KAN based VGG11 model with prototypical networks.