Paperswithcode Implementation - Neural Networks
Budget: $30 – $250 USD
Project: Deep Learning Architectures for Solving Problems Related to Big Databases Using Python/TensorFlow/PyTorch and Libraries
Pick up your project from the papers (links listed below). All of them are papers with a code using different architectures for solving problems related to big databases.
https://paperswithcode.com/task/image-classification/latest https://paperswithcode.com/area/computer-vision
https://paperswithcode.com/sota
More intriguing architectures that are combinations of CNN with RNN, LSTM, GRU, AutoEncoders/Decoders, GAN etc. and respective learning algorithms, as well as big databases not conventionally used in deep learning, are preferable.
Traditional CNN architecture is excluded from your choice as well as more traditional databases like MNIST, CIFAR-10, CIFAR-100, Traffic Sign, the one that you currently use with CNN etc.
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YOU CAN USE THE DATASETS FROM THE LINKS PROVIDED AT THE TOP OF THE DESCRIPTION.
Moreover, here's the link that I think is suitable - https://paperswithcode.com/paper/a-novel-approach-for-detecting-normal-covid
THE CODE IS PROVIDED IN THE DESCRIPTION OF THE PAPER WHERE IT REDIRECTS YOU TO GITHUB CODE.
PLEASE RUN THE CODE, AND COMPLETE THE PARTS FROM A TO E.
Pick up your project from the papers (links listed below). All of them are papers with a code using different architectures for solving problems related to big databases.
https://paperswithcode.com/task/image-classification/latest https://paperswithcode.com/area/computer-vision
https://paperswithcode.com/sota
More intriguing architectures that are combinations of CNN with RNN, LSTM, GRU, AutoEncoders/Decoders, GAN etc. and respective learning algorithms, as well as big databases not conventionally used in deep learning, are preferable.
Traditional CNN architecture is excluded from your choice as well as more traditional databases like MNIST, CIFAR-10, CIFAR-100, Traffic Sign, the one that you currently use with CNN etc.
---------------------------------------------------------------------------
YOU CAN USE THE DATASETS FROM THE LINKS PROVIDED AT THE TOP OF THE DESCRIPTION.
Moreover, here's the link that I think is suitable - https://paperswithcode.com/paper/a-novel-approach-for-detecting-normal-covid
THE CODE IS PROVIDED IN THE DESCRIPTION OF THE PAPER WHERE IT REDIRECTS YOU TO GITHUB CODE.
PLEASE RUN THE CODE, AND COMPLETE THE PARTS FROM A TO E.