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 998 (0 this week)

Watchers 35 (0 this week)

Forks 436

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RepositoryStats indexes 534,880 repositories, of these curiousily/Deep-Learning-For-Hackers is ranked #48,235 (91st percentile) for total stargazers, and #60,901 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #966/14,941.

curiousily/Deep-Learning-For-Hackers is also tagged with popular topics, for these it's ranked: python (#2,687/20457), deep-learning (#1,238/7826), machine-learning (#1,261/7374), tensorflow (#434/2166), artificial-intelligence (#304/1824), object-detection (#164/1084), keras (#137/762), neural-networks (#134/676), bert (#91/537), anomaly-detection (#31/288), sentiment-analysis (#27/236)

Other Information

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

Homepage URL: https://www.mlexpert.io/bootcamp

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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updated: 2024-06-30 @ 07:49am, id: 183159288 / R_kgDOCurJ-A