A style-transfer method by utilizing convolutional neural networks
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Updated
Jun 23, 2019 - Jupyter Notebook
A style-transfer method by utilizing convolutional neural networks
نقل النمط العصبوني: بناء طريقة للتعلم العميق باستخدام كيراس tf.keras و منفّذ إيجر eager execution
Beans leaf dataset with images of diseased and health leaves.
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Neural style transfer with pyTorch
Neural style transfer (NST) is an optimization technique which takes two images, a Content image (the one you want to edit) and a style quotation image, and combine them together so the resultant image looks like the content image, but “edited” in the style of the style quotation image.
Image Clustering algorithms research with K-Means, various feature extraction methods, PCA
Dumply is a web app designed to classify electronic waste (e-waste) into different categories.
An implementation of flower search using VGG19 and KNN, with image dataset scraped from Google Image
VGG19 --> Neural Style Transfer
Malaria detection using Deep Learning. CNN, VGG-19 and ResNet50.
This is a deep learning computer vision project to detect plant diseases from images of infected plants
CNN for the Pneumonia identification Kaggle dataset
Hot dog image classifiers for Kaggle competition
Determine breed of dog in an image
A simple, concise Tensorflow 2 implementation of neural style transfer
A pipeline for detecting lung cancer from CT scan images
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