https://github.com/nikhilaravi/am207
Stochastic Optimisation: Monte carlo methods for data analysis and inference
https://github.com/nikhilaravi/am207
gradient-descent machine-learning multilayer-perceptron-network simulated-annealing theano
Last synced: 5 months ago
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Stochastic Optimisation: Monte carlo methods for data analysis and inference
- Host: GitHub
- URL: https://github.com/nikhilaravi/am207
- Owner: nikhilaravi
- Created: 2017-02-03T17:48:18.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-04-12T04:13:16.000Z (about 8 years ago)
- Last Synced: 2024-10-15T15:35:53.422Z (6 months ago)
- Topics: gradient-descent, machine-learning, multilayer-perceptron-network, simulated-annealing, theano
- Language: Jupyter Notebook
- Size: 42.1 MB
- Stars: 4
- Watchers: 1
- Forks: 3
- Open Issues: 0