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[Recitation 4] 11785 Intro to Deep Learning - Fall 2018
11-785 Spring 2023 Recitation 0G: Debugging and Visualisation (Part 2/3)
Fall 2024 Recitation 0N - Debugging Part 4
Debugging Visualization
Fall 2024 Recitation 0N - Debugging (Part 1)
Recitation 4: Cell debugging tools | MIT 6.189 Multicore Programming Primer, IAP 2007
11-785 Deep Learning Recitation 0F: Debugging
15-451: Algorithm Design and Analysis - Recitation 4
Ryan Fleury – Cracking the Code: Realtime Debugger Visualization Architecture – BSC 2025
Recitation 0g | Debugging, Monitoring (2/2)
F18 Recitation 4: Tensorboard and Understanding Data
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Last Updated: September 27, 2026
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Summary
Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Fall 2019 Part 1: Common issues seen in deep learning code and some good coding practices. Notebook example You can find the lecture notes and exercises Okay good morning everyone welcome to Part 2: Common coding errors in deep learning and how to Notebook: drive.google.com/file/d/1uIHxQunIjkcBJvqQmX5DNJKnV_D9tisg/view?usp=drive_link. Please ignore the Notebook name, this Ryan Fleury's talk at BSC 2025 on the work he's been doing Python Notebook: colab.research.google.com/drive/1v6X0mOQpB4IM3XSnqAPCHnQhaxRQRt0n?usp=sharing
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