Visualizing TensorFlow Models: Part I

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Published on ● Video Link: https://www.youtube.com/watch?v=ULXXej1n9H8



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When presenting and explaining our models to others, it can be very useful to create a visual representation of the model. Building these manually can be time consuming and are difficult to keep in sync with our current design.

In this series, we will build a Python package to visualize TensorFlow models!

Join David Hoelzer, the operations chief for Enclave Forensics, Inc. and a managing partner with Occulumen, Ltd. (and SANS Fellow), who will lead this livestream. David has more than thirty years of experience in the IT and cybersecurity fields, with more than 25 years specifically in the network monitoring, SOC operations, and incident response fields. He leads the machine learning function within Enclave Forensics and is the author of both SEC503 (Intrusion Detection In-Depth) and SEC595 (Applied Data Science and Machine Learning/AI for Cybersecurity Professionals).

Links:
sans.org/profiles/david-hoelzer
sans.org/cyber-security-courses/intrusion-detection-in-depth
sans.org/cyber-security-courses/applied-data-science-machine-learning

#machinelearning #ai #ml #networking #datascience #python