TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

Spatial and Channel Attention in CNN Architectures for Image Classification task

This folder contains my reading notes on different topics in Machine Learning.

CNN Architectures(with and without SPP Layer) for Image Classification task

Different CNN Architectures for Image Classification task

Repo for the paper "Deep Multimodal Transfer-Learned Regression in Data-Poor Domains"

Implementation of Dilated Residual Networks for Image Classification task

Different CNN Architectures for Medical Image Segmentation 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.

Malaria-Detection-Using-CNN

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

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 📄