ML Model Optimization: Quantization & Pruning Explained скачать в хорошем качестве

ML Model Optimization: Quantization & Pruning Explained

Learn how to optimize your machine learning models using quantization and pruning techniques! In this video, I'll guide you through the process of reducing model size and improving inference speed without sacrificing accuracy. We'll cover the fundamentals of both quantization and pruning, explore various methods, and discuss best practices for implementation. By the end of this video, you'll have a solid understanding of how to apply these powerful optimization techniques to your own ML projects. Key takeaways: Reduce model size for faster deployment. Improve inference speed on resource-constrained devices. Maintain acceptable accuracy levels after optimization. Master quantization and pruning techniques for ML models. Like, share, and subscribe for more AI and machine learning tutorials! #modeloptimization, #quantization, #pruning, #machinelearning, #ai, #deeplearning, #tensorflow, #pytorch, #aioptimization, #modelcompression, #aidevelopment, #datascience Agentic AI :    • Agentic AI   AI Agents ShortsPlaylist :    • Shorts   Backend Shorts :    • Shorts