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.

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.

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.

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。

《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。

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。

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.

Building Machine Learning Estimator in TensorFlow

Understanding the Internals of TensorFlow Learn Estimators

A guide to understanding and building custom machine learning estimators in TensorFlow's high-level API.

High-level Learn Module in TensorFlow

Seemless Integration and Changes on Scikit Flow

Overview of the high-level Learn module in TensorFlow, providing simplified APIs for machine learning model building and training.

5 Questions with Uptake Data Scientist and Scikit Flow Co-creator Yuan Tang

An Interview with Uptake

Interview about co-creating Scikit Flow (now TensorFlow Estimators) — simplifying deep learning for data scientists by bridging Scikit-learn and TensorFlow.