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Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.

  1. R Interface to TensorFlow tensorflow.rstudio.com

    R interface to TensorFlow APIs, including Estimators, Keras, Datasets, etc.

  2. Tensorflow-Probability tensorflow.org

    Probabilistic programming built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware.

  3. TensorFlow Estimators tensorflow.org

    high-level TensorFlow API that greatly simplifies machine learning programming (originally tensorflow/skflow)

  4. TensorFlow Optimizations on Modern Intel® Architecture software.intel.com

    Introduces TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms based on an Intel/Google collaboration.

  5. Hands-On Machine Learning with Scikit-Learn and TensorFlow shop.oreilly.com

    by Aurélien Geron, former lead of the YouTube video classification team. Covers ML fundamentals, training and deploying deep nets across multiple servers and GPUs using TensorFlow, the latest CNN, RNN and Autoencoder architectures, and Reinforcement Learning (Deep Q).

  6. TensorFlow for Poets petewarden.com

    Goes over the implementation of TensorFlow

  7. Getting Started with TensorFlow packtpub.com

    Get up and running with the latest numerical computing library by Google and dive deeper into your data, by Giancarlo Zaccone

  8. Building Machine Learning Projects with Tensorflow packtpub.com

    by Rodolfo Bonnin. This book covers various projects in TensorFlow that expose what can be done with TensorFlow in different scenarios. The book provides projects on training models, machine learning, deep learning, and working with various neural networks. Each project is an…

  9. Getting Started with TensorFlow on Android omid.al

    Build your first TensorFlow Android app

  10. TensorFlow 2.0 in Action manning.com

    by Thushan Ganegedara. This practical guide to building deep learning models with the new features of TensorFlow 2.0 is filled with engaging projects, simple language, and coverage of the latest algorithms.

  11. Deep Learning with Python machinelearningmastery.com

    Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee

  12. Understanding The Tensorflow Estimator API lighttag.io

    A conceptual overview of the Estimator API, when you'd use it and why.

  13. Deep Learning videolectures.net

  14. How Does The TensorFlow Work letslearnai.com

    How Does The Machine Learning Library TensorFlow Work?

  15. Scaling up Deep Learning videolectures.net

  16. First Contact with TensorFlow jorditorres.org

    by Jordi Torres, professor at UPC Barcelona Tech and a research manager and senior advisor at Barcelona Supercomputing Center

  17. Fizz Buzz in TensorFlow joelgrus.com

    A joke by Joel Grus

  18. The Good, Bad, & Ugly of TensorFlow indico.io

    A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff), Dan Kuster at Indico, May 9, 2016

  19. Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source googleresearch.blogspot.com

    Release of SyntaxNet, "an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding systems.

  20. TensorFlow: smarter machine learning, for everyone googleblog.blogspot.com

    An introduction to TensorFlow

  21. ICML 2013 techtalks.tv

  22. ICML 2012 techtalks.tv

  23. TensorFlow-Slim github.com

    High-level library for defining models

  24. Computer Vision News rsipvision.com

  25. Machine Learning robots.ox.ac.uk

  26. Research Skills research.microsoft.com

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