TensorFlow high-level APIs: Part 2 - going deep on data and features

Welcome to Part 2 of our mini-series on TensorFlow high-level APIs! In this 3 part mini-series, TensorFlow Engineering Manager Karmel Allison runs us through different scenarios using TensorFlow’s high-level APIs. In this part, Karmel discusses preparing data for machine learning, including using Feature Columns, categorical data, and more. Building a ML model takes a lot of time, effort, and often involves multiple stages. Luckily, TensorFlow high-level APIs aim to help you along with each stage, from the start of your idea, to training and serving large scale applications. Watch to discover the key steps in developing machine learning models, where TensorFlow comes in for each step, and lastly how to prepare and load your data! Learn more about TensorFlow high-level APIs → http://bit.ly/2zETMOK Want to watch more? → http://bit.ly/Coding-TensorFlow Subscribe to the channel to catch new episodes of Coding TensorFlow → https://goo.gl/ht3WGe Stay tuned for Part 3!