Introduction to Kubeflow MPI Operator and Industry Adoption

Introduction to Kubeflow MPI Operator for allreduce-style distributed training on Kubernetes, with industry adoption stories from Ant Group, NVIDIA, and others.

Posted on March 17, 2020

CSDN专访：11年艺术学习“转投”数学，他出版首本TensorFlow中文教材，成为蚂蚁金服技术大军一员

An Interview with CSDN (www.csdn.net)

CSDN年终专访：从11年艺术学习到数学专业，出版首本TensorFlow中文教材，加入蚂蚁金服的技术成长之路。

Posted on December 31, 2019

Sponsoring My Open Source Efforts through GitHub

Supporting open source development of TensorFlow, Kubeflow, Argo, XGBoost, and other projects through GitHub Sponsors.

Posted on November 19, 2019

DeepMind TF-Replicator Simplifies Model Deployment on Cluster Architectures

Thoughts on DeepMind TF-Replicator with Synced

Analysis of DeepMind's TF-Replicator framework for simplified distributed TensorFlow model deployment across GPUs and Cloud TPUs.

Posted on March 20, 2019

autoplotly - One Line of R Code to Build Interactive Visualizations for Popular Statistical Results

Automatic Generation of Interactive Visualizations in ggplot2 and plotly Styles

Introducing the autoplotly R package for generating interactive Plotly visualizations from popular statistical models with a single line of code.

Posted on February 12, 2018

tfestimators: TensorFlow Estimators in R

R Interface to TensorFlow Estimators

Announcing the tfestimators R package — a high-level interface to TensorFlow Estimators for linear models, deep neural networks, and custom model types.

Posted on August 31, 2017

CSDN专访：掌握 Google 深度学习框架的正确姿势

An Interview with CSDN (www.csdn.net)

CSDN专访：从数学到数据科学，TensorFlow贡献者唐源分享掌握深度学习框架的正确姿势。

Posted on February 22, 2017

《TensorFlow实战》- 掌握谷歌深度学习框架

TensorFlow in Practice: First Book on TensorFlow in Chinese

《TensorFlow实战》——Google TensorFlow研发团队推荐的首本中文教程，深入浅出介绍深度学习框架实践。

Posted on February 12, 2017

机器之心专访：关于开源，我们和谷歌开源奖获得者、DMLC成员唐源聊了聊

An Interview with Synced (www.jiqizhixin.com) on Open-source

机器之心专访：谷歌开源奖获得者、DMLC成员唐源谈开源贡献、TensorFlow和机器学习社区。

Posted on November 9, 2016

TensorFlow - Not Just for Deep Learning

A Glance at Its Machine Learning Building Blocks and Collection of Algorithms

Exploring TensorFlow beyond deep learning — K-means clustering, random forests, SVMs, and other general ML algorithms available in tf.contrib.

Posted on August 6, 2016