- Published on February 5, 2020
- In Deep Tech
This New Tool Helps Developers In Effective Hyperparameter Tuning
- By Ram Sagar
Machine learning models are getting complicated and often have many hyperparameters. In order to ease the exhaustive trial and error kind of experimental procedures, Facebook AI has released HiPlot for the public. HiPlot had been used by the developers at Facebook AI to explore and efficiently analyse hyperparameter tuning of deep neural networks with dozens of hyperparameters and more than 100,000 experiments.
This new tool helps practitioners to visualise the influence of hyperparameters on a certain task. Machine learning developers can play with this tool by dragging and sliding the cursor and see the changes in real-time. This is something similar to an equaliser in music player settings on our phones.
How To Use HiPlot
via Facebook AI
HiPlot uses parallel pl
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Ram Sagar
I have a master's degree in Robotics and I write about machine learning advancements.
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