Posts in tag

TensorFlow


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 Federated (TFF): Machine Learning on Decentralized Data TensorFlow Federated (TFF) is an open-source framework for machine learning and other computations on decentralized data. TFF has been developed to facilitate open research and experimentation with Federated Learning (FL), an approach to machine learning where a shared global model is trained …

TF Dev Summit ‘19 | Exascale Deep Learning for Climate Analytics Climate change will have fundamental socio-economic impact and it is imperative for us to understand it better. This talk will show how TensorFlow was utilized on the world’s fastest supercomputer in order to extract pixel level segmentation masks of extreme weather phenomena in climate …

TF Dev Summit ‘19 | AI Experiments: Making AI Accessible through Play Learn about recently open-sourced creative tools and projects built on top of Tensorflow.js, and how they are being used by makers, developers, and communities around the world. Speaker: Irene Alvarado, Google

TF Dev Summit ’19 | TensorFlow.jl: A Julia Front End to the TensorFlow World Julia is a new dynamic scientific programming language that’s as fast as C while maintaining an easy-to-use syntax with powerful metaprogramming. In this talk, we’ll explore how the TensorFlow.jl package lets you seamlessly combine Julia with TensorFlow, TensorBoard, and your existing …

TF Dev Summit ’19 | What’s new in TensorBoard TensorBoard provides the visualization needed for machine learning experimentation. This talk will cover some exciting new functionality on using TensorBoard within Colab, an improved hyperparameter tuning with TensorFlow, and more. Speaker: Gal Oshri, Product Manager

TF Dev Summit ’19 | Powered By TensorFlow: Helping Paleographers Transcribe Medieval Text Using Machine Learning Machine learning is helping to solve challenging, real-world problems around the world. See how In Codice Ratio (http://www.inf.uniroma3.it/db/icr/), a research project made up of engineers, paleographers, and archivists, is using machine learning powered by TensorFlow to help humanities scholars …