https://github.com/hilalozdemirbuyukasik/deep-learning
A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.
https://github.com/hilalozdemirbuyukasik/deep-learning
bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow
Last synced: about 1 month ago
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A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.
- Host: GitHub
- URL: https://github.com/hilalozdemirbuyukasik/deep-learning
- Owner: HilalOzdemirBuyukasik
- Created: 2025-08-27T19:32:58.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-27T22:26:09.000Z (about 2 months ago)
- Last Synced: 2025-08-28T05:07:44.952Z (about 2 months ago)
- Topics: bilstm, cnn, keras, matplotlib, nn, numpy, rnn, scikit-learn, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 1.42 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files: