Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Skin Disease Classification using Deep Learning Models
:red_circle: Aim : To build a model to classify various Skin diseases
:red_circle: Dataset : https://www.kaggle.com/datasets/pacificrm/skindiseasedataset/data
:red_circle: Approach : First Analyze the dataset by checking image quality, class distributions, and visualization of sample images. Then I train various models to enhance the classification accuracy, I propose building and comparing various models to select the best one. The models to be used include:
VGG /(Custom model)
ResNet
SEResNet
EfficientNet
Vision Transformer (ViT)
π Follow the Guidelines to Contribute in the Project :
You need to create a separate folder named as the Project Title.
Inside that folder, there will be four main components.
Images - To store the required images.
Dataset - To store the dataset or, information/source about the dataset.
Model - To store the machine learning model you've created using the dataset.
requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.
:red_circle::yellow_circle: Points to Note :
The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
"Issue Title" and "PR Title should be the same. Include issue number along with it.
Follow Contributing Guidelines & Code of Conduct before start Contributing.
:white_check_mark: To be Mentioned while taking the issue :
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Skin Disease Classification using Deep Learning Models :red_circle: Aim : To build a model to classify various Skin diseases :red_circle: Dataset : https://www.kaggle.com/datasets/pacificrm/skindiseasedataset/data :red_circle: Approach : First Analyze the dataset by checking image quality, class distributions, and visualization of sample images. Then I train various models to enhance the classification accuracy, I propose building and comparing various models to select the best one. The models to be used include: VGG /(Custom model) ResNet SEResNet EfficientNet Vision Transformer (ViT)
π Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing π
All the best. Enjoy your open source journey ahead. π