TensorBoard: Visualizing Learning
3,716 views · Published 29 May 2018 · 8:50 · Indexed 1 November 2026
Channel: InfoQ · 2018 · Science & Technology
Machine learning models, especially deep learning ones, can be complex. Chi Zeng walks us through how to debug, monitor, and examine the decisions of a TensorFlow-based model using the TensorBoard suite of visualizations. Chi Zeng works on the TensorBoard suite of visualizations within Google Brain. This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl More videos from QCon.ai 2018 on InfoQ: https://bit.ly/2rNAT8z If you are a software engineer who wants to learn more about artificial intelligence, machine learning and data engineering from the industry experts and practitioners, follow the topic on InfoQ: https://bit.ly/2rrEicK If you are an experienced senior engineer or software team lead with ideas you want to share then we would love to hear from you: https://bit.ly/2KIkDx6
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