Trained CNN and RNN Network for Image Captioning Task- Deep Neural Network Course Project
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Updated
Nov 1, 2022 - Jupyter Notebook
Trained CNN and RNN Network for Image Captioning Task- Deep Neural Network Course Project
Objects in real-time video are detected with PixelLib and Mask RCNN
Projet EA 3 STI INSA Centre Val de Loire sur Raspberry pi pour l'implementation de la vision par deep-learning avec les libs caffe,opencv,darknet
SDGP group project
Sentiment Classification exercise with perceptron, feed-forward multilayer net, LSTM RNN, and RCNN!
Personal attempt to rewrite the face detection pipeline in Go
ORCA: Oceanic Recognition & Classification Application for sea-life analysis systems.
This MATLAB project fine tunes a pretrained deep learning model (RCNN) to detect stop signs in images
Experiments with Scene Labeling using Recurrent Convolutional Neural Networks on Foraminifera and Unity simulated images for Segmentation task
Reproducibility Challenge Submission for DynamicRCNN (ECCV 2020)
Built a model to accurately segment the stomach and intestines in MRI scans, streamlining the cancer treatment process by automating the postioning of these organs, reducing the manual effort required.
Assembly of implementations of region based convolutional neural networks on win64
Due to highly variying domain features of different underwater enviornment, the publically available datasets alone are not the best fit to train a deep learning algorithm to predict trash
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