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https://github.com/tatevkaren/deep-learning-for-data-science
Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
https://github.com/tatevkaren/deep-learning-for-data-science
ann artificial-intelligence artificial-neural-networks data-preprocessing data-science deep-learning ds keras modelling modelling-framework neural-networks numpy pandas python scikit-learn sklearn tensorflow
Last synced: 18 days ago
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Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
- Host: GitHub
- URL: https://github.com/tatevkaren/deep-learning-for-data-science
- Owner: TatevKaren
- Created: 2021-01-02T12:38:38.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-02-26T09:07:48.000Z (almost 4 years ago)
- Last Synced: 2023-03-05T19:43:11.701Z (almost 2 years ago)
- Topics: ann, artificial-intelligence, artificial-neural-networks, data-preprocessing, data-science, deep-learning, ds, keras, modelling, modelling-framework, neural-networks, numpy, pandas, python, scikit-learn, sklearn, tensorflow
- Language: Python
- Homepage:
- Size: 2.54 MB
- Stars: 7
- Watchers: 2
- Forks: 2
- Open Issues: 0