Open Saswatsusmoy opened 4 months ago
Thanks for creating the issue
Hello! I have worked on the project by MNIST data classification- handwritten digits("https://github.com/shrehs/Handwritten_Digits_Classifier-with-PyTorch.git"). I thnk I will be able to understand the data Loaders, CNN architecture, Optimization and validation and more. I believe I will be able to contribute to this issue. Please consider my request to be assigned to this task. Thank you very much!
Hi, I'm a GSSOC'24 contributor and would like to contribute to this issue. Could you please assign me to this task?
Hi, I am a GSSOC'24 contributor and would like to contribute to the issue. Please assign me this issue.
Hey , @Saswatsusmoy I've already worked on this dataset and created a cnn-architecture from scartch using C++ which gives accuracy of 97% or more..I could uitlize similar approch to work on different models for this dataset particularly or make my model work on it.
Link to repo :- https://github.com/kyra-09/CNN_for_MNIST_from_scratch
Please assign this issue to me
Full Name :- Aaradhya Singh , Contributor/GSSOC(Girl Script Summer of Code) - 2024
MNIST Dataset
The MNIST dataset is a large collection of handwritten digits that's widely used for training and testing in machine learning, especially in the area of image processing. Here's a quick rundown:
MNIST is a popular choice for beginners in machine learning due to its simplicity and availability. It's a good starting point to learn image classification techniques.
Models
Add models with different architecture ranging from simple CNNs to complex ESNs
Models used (Tentative):
Documentation
Proper documentation with rundowns on the Models, re-usable model classes, Comparisons on the models should be done