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
SDGP group project
Objects in real-time video are detected with PixelLib and Mask RCNN
Sentiment Classification exercise with perceptron, feed-forward multilayer net, LSTM RNN, and RCNN!
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.
Deep Learning models using caffe for Computer vision
Adapted Detectron2's Fast r-CNN object detection for automated association of radio galaxy/source components
Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher-level features from the raw input.
A project about car detection using RCNN model
Small Experiments ( Mini - Mini - Projects ) Done for Learning Deep-Learning's Practical Implementation on Keras.
An attempt at the speech emotion recognition (SER) task on the CREMA-D dataset using TensorFlow 1D & 2D RCNN models.
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