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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Optimizing Neural Networks: Quantization and Compression
This chapter examines neural network quantization and compression techniques crucial for enhancing the efficiency of deep learning models. It highlights the balance between model robustness and resource constraints, particularly in the context of computer vision applications on mobile devices.
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