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  2. TensorFlow

    www.tensorflow.org

    Get started with TensorFlow. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. Explore examples of how TensorFlow is used to advance research and build AI-powered applications.

  3. Introduction to TensorFlow

    www.tensorflow.org/learn

    Highly scalable data pipelines for loading data. Preprocessing layers for common input transformations. Tools to validate and transform large datasets. Additionally, responsible AI tools help you uncover and eliminate bias in your data to produce fair, ethical outcomes from your models.

  4. Get started with TensorFlow.js. Explore tutorials. Train and deploy models in the browser, Node.js, or Google Cloud Platform. TensorFlow.js is an open source ML platform for Javascript and web development.

  5. Tutorials | TensorFlow Core

    www.tensorflow.org/tutorials

    An open source machine learning library for research and production. Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.

  6. Magenta

    magenta.tensorflow.org

    Magenta Studio has been upgraded to more seamlessly integrate with Ableton Live. It is a collection of music creativity tools built on Magenta’s open source models, using cutting-edge machine learning techniques for music generation. Read the blog post.

  7. Machine learning education - TensorFlow

    www.tensorflow.org/resources/learn-ml

    In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects and build a career in AI. You will master not only the theory, but also see how it is applied in industry.

  8. Models & datasets - TensorFlow

    www.tensorflow.org/resources

    Explore repositories and other resources to find available models, modules and datasets created by the TensorFlow community.

  9. Frame interpolation using the FILM model | TensorFlow Hub

    www.tensorflow.org/hub/tutorials/tf_hub_film_example

    See TF Hub model. Frame interpolation is the task of synthesizing many in-between images from a given set of images. The technique is often used for frame rate upsampling or creating slow-motion video effects. In this colab, you will use the FILM model to do frame interpolation.

  10. An introduction to TFX and Cloud AI Platform Pipelines to create your own machine learning pipelines on Google Cloud. Follow a typical ML development process, starting by examining the dataset, and ending up with a complete working pipeline.

  11. Magenta Studio - Ableton Live Plugin

    magenta.tensorflow.org/studio

    Magenta Studio is an Ableton Live plugin built on Magenta’s open source tools and models. They use cutting-edge machine learning techniques for music generation.