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Presentation: TensorBoard: Visualizing Learning

Track: Hands-on Codelabs & Speakers Office Hours

Location: Mission

Duration: 12:45pm - 12:55pm

Day of week: Wednesday

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Abstract

Machine learning models, especially deep learning ones, can be complex. We walk through how to debug, monitor, and examine the decisions of a TensorFlow-based model using the TensorBoard suite of visualizations. 
This is an introduction to the TensorBoard Codelab.

Speaker: Chi Zeng

Software Engineer @Google

Chi works on the TensorBoard suite of visualizations within Google Brain. He also works on the People+AI Research Initiative, which strives to make partnerships between people and artificial intelligence productive, enjoyable, and fair.

Find Chi Zeng at

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.