finetune with resnet50 for regression
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Updated
Sep 4, 2018 - Python
finetune with resnet50 for regression
Fashion Image CNN Classifier using Keras
Implementation of ResNet based classifier for galaxy classification on DESI dataset
Recognize and categorize trash (Cardboard/Paper/Glass/Plastic/Metal) with Machine Learning (ResNet50)
PyQt example of using fine-tuned resnet50 model for image classficiation of user-defined image (anteater, hyena)
Fashion Recommender : Powered by Transfer Learning
API to run model ResNet50
The overall aim of this project was to design models for each disorder, develop activation heatmaps, and extract regions of interest. Afterwards, gene expression analysis an additional aim was to conduct gene expression analysis to determine the involvement of mGluR5, encoded by GRM, in OCD.
Machine Learning Lifecycle
AnimeVision: An image recognition tool using ResNet50 and Jikan API to identify and fetch details of anime.
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
Background Subtraction/ Optical Flow/ Perspective Transform/ PCA/ Dogs and Cats classification Using ResNet50
PyQt example of using transfer-learned ResNet50 model to distinguish 7 flowers
A Deep-Learning model for image classification of a set of 10 food items. It uses the ResNet-50 pre-trained on ImageNet database.
The deep learning fashion recommendation project is designed to provide users with an enhanced fashion shopping experience. By using deep learning techniques, this project aims to recommend similar fashion items to the input image provided by the user.
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