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Software


TF Dev Summit ’19 | TensorFlow.js 1.0 TensorFlow.js A JavaScript library for training and deploying ML models in the browser and on Node.js. In this talk we highlight the major capabilities of the library as well as give a development update on the major changes since the project was launched in 2018. Speakers: Yannick Assogba, …

TF Dev Summit ’19 | TF Lattice: Control Your ML with Monotonicity This AI safety solution lets you guarantee that your TF models behave like you think they should by letting you control your ML with monotonicity constraints. Speaker: Maya Gupta  

TF Dev Summit ‘19 | Mesh-TensorFlow: Model Parallelism for Supercomputers Batch-splitting (data-parallelism) is the dominant distributed Deep Neural Network (DNN) training strategy, due to its universal applicability and its amenability to Single-Program-Multiple-Data (SPMD) programming. However, batch-splitting suffers from problems including the inability to train very large models (due to memory constraints), high latency, and inefficiency …

TF Dev Summit ‘19 | Improving Text In Tensorflow Learn how recent changes to Tensorflow make working with text data simpler and easier. Speaker: Mark Omernick

TF Dev Summit ’19 | TensorFlow Open Source Community And Collaboration TensorFlow is where it is today because of many amazing open source contributions, through GitHub, Special Interest Groups and Requests for Comment (RFCs). In addition to that, we have communities of contributors focused on documentation, and on testing the forthcoming TensorFlow 2.0 release. This …

TF Dev Summit ‘19 | Powered by TensorFlow: Airbnb Uses Machine Learning To Help Categorize Its Listing Photos Machine learning is helping to solve challenging, real-world problems around the world. See how Airbnb (www.airbnb.com) is using machine learning powered by TensorFlow to help categorize millions of listing photos in order to improve the guest experience, …

Overview This guide shows how to install Matplotlib, a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu   …