Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Neural Network Compression Challenges
This chapter explores the intricate challenges of automating neural network compression, focusing on error propagation and its impact on performance. It also considers the effectiveness of brute force methods compared to strategic approaches in a resource-unconstrained scenario.
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