🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network
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Updated
Mar 7, 2017 - Python
🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network
CNN distinguishing between men and women by photo
Machine Learning Practical - Coursework 2 Report: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.
In this paper I introduce a new oral lesion database that I created by scraping Images from research papers and dentists online. Next, I showcase a novel method for generating NxN pixel samples from human lips by isolating the labial fissure via image segmentation induced via the Kmean algorithm. I experiment with a variety of convolutional neur…
Classification of 17 types of flowers based on VGG 基于VGG的17类花卉分类
This repository contains all resources and documentation related to the Human Action Recognition project. The goal of this project is to classify different human actions using deep learning models trained on the Human Action Recognition (HAR) dataset.
Image Classification for a City Dog Show Project Goal Improving your programming skills using Python. In this project, I use a created image classifier to identify dog breeds. It is for one of the submission for the udacity nanodegree program
Segundo projeto apresentado na disciplina de Inteligência Computacional em Saúde utilizando a base de dados de imagens histopatológicas de câncer pulmonar.
Implementation on tensorflow fine tuning of generic CNN based model
A tensorflow tool for loading some pre-trained models from MatConvNet
We have developed a Image Caption Generator which is a challenging artificial intelligence problem where a text description is generated for a given photograph.
Feature extraction using Keras with the VGG, Inception and ResNet architectures
Computer Vision models to predict movie genre from poster
Computer vision project about Object Detection and Image Classification on a grocery store dataset.
Improving style transfer of VGG using adversarial training
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