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  2. fast.ai - Wikipedia

    en.wikipedia.org/wiki/Fast.ai

    The free MOOC "Practical Deep Learning for Coders" is available as recorded videos, initially taught by Howard and Thomas at the University of San Francisco. In contrast to other online learning platforms such as Coursera or Udemy, a certificate is not granted to those successfully finishing the course online. Only the students following the in ...

  3. 10 Free Online Certification Courses to Advance Your Career - AOL

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

    Finding free ways to obtain training and certifications should be at the top of your list. Skip to main content. Sign in. Mail. 24/7 Help. For premium support please call: 800-290 ...

  4. 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 ...

  5. Coursera - Wikipedia

    en.wikipedia.org/wiki/Coursera

    A free course can be "upgraded" to the paid version of a course, which includes instructor's feedback and grades for the submitted assignments, and (if the student gets a passing grade) a certificate of completion. [57] [60] Other Coursera courses, projects, specializations, etc. cannot be audited—they are only available in paid versions ...

  6. Horovod (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Horovod_(machine_learning)

    Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI). [3] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model. [4]

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

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