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https://github.com/curiousily/Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
https://github.com/curiousily/Deep-Learning-For-Hackers
anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting
Last synced: about 2 months ago
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Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
- Host: GitHub
- URL: https://github.com/curiousily/Deep-Learning-For-Hackers
- Owner: curiousily
- License: mit
- Created: 2019-04-24T06:06:44.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-23T06:08:54.000Z (over 4 years ago)
- Last Synced: 2024-05-01T18:48:42.129Z (5 months ago)
- Topics: anomaly-detection, artificial-intelligence, autoencoders, bert, deep-learning, image-augmentation, intent-recognition, jupyter-notebooks, keras, lstms, machine-learning, neural-networks, object-detection, python, sentiment-analysis, tensorflow, tensorflow-tutorial, time-series-classification, time-series-forecasting
- Language: Jupyter Notebook
- Homepage: https://www.mlexpert.io/
- Size: 22.2 MB
- Stars: 990
- Watchers: 35
- Forks: 434
- Open Issues: 6
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Metadata Files:
- Readme: README.md
- License: LICENSE