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)

Date Created 2019-04-24 (5 years ago)

Commits 45 (last one 4 years ago)

Stargazers 1,041 (0 this week)

Watchers 36 (0 this week)

Forks 440

License mit

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RepositoryStats indexes 631,351 repositories, of these curiousily/Deep-Learning-For-Hackers is ranked #51,228 (92nd percentile) for total stargazers, and #59,504 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,082/19,010.

curiousily/Deep-Learning-For-Hackers is also tagged with popular topics, for these it's ranked: python (#2,885/23380), deep-learning (#1,293/8800), machine-learning (#1,330/8391), tensorflow (#434/2300), artificial-intelligence (#346/2274), object-detection (#173/1230), keras (#137/809), neural-networks (#139/758), bert (#93/578), anomaly-detection (#34/354), sentiment-analysis (#27/262), time-series-forecasting (#15/111)

Other Information

curiousily/Deep-Learning-For-Hackers has Github issues enabled, there are 6 open issues and 4 closed issues.

Homepage URL: https://mlexpert.io

All Topics

bert keras lstms python tensorflow autoencoders deep-learning neural-networks machine-learning object-detection anomaly-detection jupyter-notebooks image-augmentation intent-recognition sentiment-analysis tensorflow-tutorial artificial-intelligence time-series-forecasting time-series-classification

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The only known language in this repository is Jupyter Notebook

updated: 2025-03-21 @ 03:40am, id: 183159288 / R_kgDOCurJ-A