TensorFlow Wide & Deep: Data Classification the easy way

  • R0
  • Day 1, 11:45‑12:30
  • English talk
  • Data Analysis
  • Intermediate

Deep learning has already revolutionized machine learning research, but it remains out of reach for many developers. However, tools already exist today that enable leading-edge machine learning for many problem domains.
In this talk, we will go on an adventure to build a machine learning model that combines the benefits of linear models with deep neural networks. You will also gain some intuition about what is happening under the hood, and learn how to use this model for your own datasets!
To accomplish this, we will use TensorFlow, an open-source machine learning library with a full Python interface. It has become the most popular machine learning library on GitHub, and the community around it is growing rapidly.

Talk Detail

## Description Deep learning has already revolutionized machine learning research, but it remains out of reach for many developers. However, tools already exist today that enable leading-edge machine learning for many problem domains. In this talk, we will go on an adventure to build a machine learning model that combines the benefits of linear models with deep neural networks. You will also gain some intuition about what is happening under the hood, and learn how to use this model for your own datasets! ## Third-party libraries used: - [TensorFlow] A machine learning library written in C++ with a robust Python API - [Pandas] An open source library providing high-performance, easy-to-use data structures and data analysis tools for Python - [Jupyter Notebook] An open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. [TensorFlow]: http://www.tensorflow.org [Pandas]: http://pandas.pydata.org/ [Jupyter Notebook]: http://jupyter.org/

Speaker Information

Yufeng Guo

Yufeng is a Developer Advocate for the Google Cloud Platform, where he bridges the gap between the developer community and engineering teams.
He is interested in finding new and interesting applications of machine learning. You can find him on Twitter @YufengG