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

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.

Posted on July 8, 2016

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.

Posted on June 9, 2016

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.

Posted on May 5, 2016

Introduction to Scikit Flow

A Simplified Interface to TensorFlow

Introduction to Scikit Flow — a simplified interface for TensorFlow that bridges the gap between Scikit-learn and deep learning.

Posted on March 14, 2016

一行R代码实现繁琐的可视化

One Line of Code to ggplot2 Popular R Packages

介绍ggfortify R包: 一行代码实现多种统计分析和机器学习模型结果的自动可视化。

Posted on November 24, 2015