Keras implementation of influential CNN architectures.
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Updated
Apr 25, 2021 - Python
Keras implementation of influential CNN architectures.
Implementation of Dilated VGG Networks for Image Classification task
Kaggle project keymap to GitHub based on Data Science.
This repository contains coding files that will help us determine which CNN model architecture performs best at classifying a dog and its various breeds. This project was completed as part of AI Programming with Python Nanodegree program (Udacity).
This was just a project regarding the basics of deep learning. And it has covered most of the basics needed to get an idea regarding hyperparameter tuning, different CNN architecture etc.
Driver's Drowsiness Prediction Using CNN Architechtures
[Unmaintained] Notes and implementations of some papers that I had read 📄
Application of ARMA Networks on Image Segmentation task
The goal of this project is to study and implement VGG19 based classification model for Flowers' dataset.
The code for Task 3 of the ISIC2018 Deep Learning challenge with the following goal: “Submit automated predictions of disease classification within dermoscopic images” and therefore is a great testbed to measure the performance of different CNN architectures."
Malaria-Detection-Using-CNN
Different CNN Architectures for Medical Image Segmentation task
Deliverables relating to the Advanced Computer Vision for AI University Unit
This research introduces PotatoGANs, a novel data augmentation technique using GANs to generate synthetic potato disease images, improving model generalization in agricultural disease segmentation
Implementation of Dilated Residual Networks for Image Classification task
Complete introduction to deep learning with various architechtures. Maths involved is also included. Code samples for building architechtures is included using keras. This repo also includes implementation of Logical functions AND, OR, XOR.
Repo for the paper "Deep Multimodal Transfer-Learned Regression in Data-Poor Domains"
Different CNN Architectures for Image Classification task
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