Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing Neural Networks with Conditional Computation
This chapter explores conditional computation in neural networks, emphasizing the selective activation of units based on input to enhance efficiency. It discusses how this technique can improve performance and reduce computational costs during inference without compromising network capabilities.
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