
Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Consistent Features Across Deep Networks: Insights from Neurons and Biology
Features consistently show up in deep neural networks trained for different tasks. These features are mathematically structured and can be accurately modeled by a wavelet or a gabor function, indicating guiding principles in the process.
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