Deep-Learning-For-Hackers

Deep-Learning-For-Hackers

curiousily

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)

1.1k Stars
439 Forks
1.1k Watchers
Jupyter Notebook Language
mit License
Cost to Build
$133.9K
Market Value
$538.1K

Growth over time

13 data points  ·  2021-08-01 → 2025-07-01
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What is the curiousily/Deep-Learning-For-Hackers GitHub project? Description: "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)". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/curiousily/Deep-Learning-For-Hackers.git

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