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 1,025 (0 this week)
Watchers 35 (0 this week)
Forks 440
License mit
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RepositoryStats indexes 585,332 repositories, of these curiousily/Deep-Learning-For-Hackers is ranked #49,679 (92nd percentile) for total stargazers, and #61,846 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,024/17,144.

curiousily/Deep-Learning-For-Hackers is also tagged with popular topics, for these it's ranked: python (#2,794/22032),  deep-learning (#1,264/8403),  machine-learning (#1,291/7939),  tensorflow (#430/2242),  artificial-intelligence (#319/2064),  object-detection (#165/1158),  keras (#137/791),  neural-networks (#135/719),  bert (#92/558),  anomaly-detection (#34/329),  sentiment-analysis (#27/248)

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

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updated: 2024-11-21 @ 06:11pm, id: 183159288 / R_kgDOCurJ-A