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  2. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras allows users to produce deep models on smartphones (iOS and Android), on the web, or on the Java Virtual Machine. [8] It also allows use of distributed training of deep-learning models on clusters of graphics processing units (GPU) and tensor processing units (TPU) .

  3. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  4. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...

  5. 10 Free Online Certification Courses to Advance Your Career - AOL

    www.aol.com/news/10-free-online-certification...

    Certificate programs can lead to high-paying jobs -- so if you don't have to pay for a certification, it's a real opportunity. 10 Free Online Certification Courses to Advance Your Career Skip to ...

  6. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms.

  7. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Liulishuo, an online English learning platform, utilized TensorFlow to create an adaptive curriculum for each student. [79] TensorFlow was used to accurately assess a student's current abilities, and also helped decide the best future content to show based on those capabilities.

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