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https://github.com/moindalvs/gradient_descent_for_beginners
Gradient_descent_Complete_In_Depth_for beginners
https://github.com/moindalvs/gradient_descent_for_beginners
adagrad adam-optimizer back-propagation gradient-descent hyperparameter-optimization hyperparameter-tuning mini-batch-gradient-descent momentum nadam optimization optimization-methods optimizer rmsprop stochastic-gradient-descent
Last synced: about 11 hours ago
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Gradient_descent_Complete_In_Depth_for beginners
- Host: GitHub
- URL: https://github.com/moindalvs/gradient_descent_for_beginners
- Owner: MoinDalvs
- Created: 2022-08-22T14:21:30.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2022-08-27T15:14:05.000Z (about 2 years ago)
- Last Synced: 2023-03-08T12:08:13.449Z (over 1 year ago)
- Topics: adagrad, adam-optimizer, back-propagation, gradient-descent, hyperparameter-optimization, hyperparameter-tuning, mini-batch-gradient-descent, momentum, nadam, optimization, optimization-methods, optimizer, rmsprop, stochastic-gradient-descent
- Language: Jupyter Notebook
- Homepage:
- Size: 1.36 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0