Farbod-Siahkali/Neural-Networks-and-Deep-Learning
University of Tehran Neural Networks & Deep Learning Course Projects
This repository showcases various deep learning implementations, from basic neural networks to advanced models like CNNs, LSTMs, BERT, and GANs. It takes raw data, images, or text as input and produces classifications, segmentations, or generated content. This is useful for students and researchers in artificial intelligence and machine learning looking to understand or implement different deep learning architectures.
No commits in the last 6 months.
Use this if you are a student or researcher in deep learning wanting to study, understand, or replicate foundational and advanced neural network models.
Not ideal if you are looking for a ready-to-use application or a production-ready solution for a specific real-world problem.
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Last pushed
May 04, 2023
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