Introduce and implement the Neural Style
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Updated
Oct 23, 2018 - Python
Introduce and implement the Neural Style
A web application that classifies an uploaded image into a disaster type, utilizing Angular
Neural style transfer is a process of transferring style from an image to another using deep learning.
VGG-19 Signature Verification using Transfer Learning
Este projeto contém dois classificadores de imagens. O primeiro utilizando extração de características e o segundo utilizando fine-tunning.
This repo is about Transfer Learning Implementation using pretrained models(VGG16 & VGG19)
Prediction of cancer using Image Classification of Chest Xray scans.
An implementation of Neural Style transfer using keras and VGG19 model
My university final year project 'An Implementation of Multiple Improvements to Neural Style Transfer.'
Implementation of 2D Neural Style Transfer in a manner proposed in an original paper, along with optimization for preserving content image colors.
Transfer style of an image to another using Convolutional Neural Networks.
A tool for classifying an image into a disaster type, utilizing Python
Implementation of Image Style Transfer using PyTorch
This example projects demonstrate the use of Style Transfer in python, Android and etc.
Deep Learning Neural Style Transfer TensorFlow Assignment
Detected the crop diseases and differentiated between various crop diseases for a particular plant. Worked with appropriate neural network image classification algorithms like CNN, Inception-V3, VGG-16. and VGG-19
The repo contains an implementation of a diagnostic tool used to classify chest related x -ray images of diseases such as Tuberculosis and Pneumonia. To develop the tool, VGG-19 pretrained model from imagenet was used.
This is the repository for the course Computational Imaging project with the subject: Combination of Convolutional Neural Network and Markov Random Field for image synthesis.
A datathon to build a model to scan the image of an eye of a patient and find if the gender of the patient is male or female.
Machine Learning applied to image recognition of snakes in Texas, extending the pre-trained VGG-19 model.
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