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https://github.com/beegass/cs-541-deep-learning
CS-541 Deep Learning is a graduate class that teaches both a theoretical and practical approach to deep learning. You will be able to see this in the different homework files in the form of workable code that can be tested as well as proofs and explanations as to where the code is coming from.
https://github.com/beegass/cs-541-deep-learning
artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network recurrent-neural-networks
Last synced: 3 months ago
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CS-541 Deep Learning is a graduate class that teaches both a theoretical and practical approach to deep learning. You will be able to see this in the different homework files in the form of workable code that can be tested as well as proofs and explanations as to where the code is coming from.
- Host: GitHub
- URL: https://github.com/beegass/cs-541-deep-learning
- Owner: BeeGass
- License: mit
- Created: 2021-01-15T00:43:05.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-31T05:36:15.000Z (over 3 years ago)
- Last Synced: 2024-04-17T23:05:51.138Z (8 months ago)
- Topics: artificial-neural-networks, convolutional-neural-networks, deep-learning, deep-neural-networks, generative-adversarial-network, recurrent-neural-networks
- Language: Jupyter Notebook
- Homepage:
- Size: 176 MB
- Stars: 10
- Watchers: 1
- Forks: 2
- Open Issues: 0