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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)

Ownercuriousily
License (as declared)MIT
Stars1,078
Forks432
Main languageJupyter Notebook
Created24 April 2019
Last updated at source23 April 2020
jupyter notebookanomaly-detectionartificial-intelligenceautoencodersbertdeep-learningimage-augmentationintent-recognitionjupyter-notebookskeraslstmsmachine-learningneural-networksobject-detectionpythonsentiment-analysistensorflowtensorflow-tutorialtime-series-classificationtime-series-forecasting
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