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).

Spatial and Channel Attention in CNN Architectures for Image Classification task

Implementation of Dilated VGG Networks for Image Classification task

Implementation of Dilated Residual Networks for Image Classification task

Different CNN Architectures for Medical Image Segmentation task

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

Application of ARMA Networks on Image Segmentation task

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

Different CNN Architectures for Image Classification task

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

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.

Keras implementation of influential CNN architectures.

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."

The goal of this project is to study and implement VGG19 based classification model for Flowers' dataset.

Driver's Drowsiness Prediction Using CNN Architechtures

[Unmaintained] Notes and implementations of some papers that I had read 📄

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.

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

Malaria-Detection-Using-CNN