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Optimize Deep Learning Models for Peak AI

By Coursera on Coursera · Data Science
Price
Free

About This Course

This short, hands-on course helps learners adapt and optimize deep learning models for real-world use. Learners begin by exploring how transfer learning accelerates model development when data is limited. Through guided practice, they fine-tune a pretrained model, adjust freezing and unfreezing strategies, and troubleshoot common training challenges. The course then shifts to evaluating model configurations for deployment, focusing on accuracy, latency, memory footprint, and efficiency. Learners experiment with optimization methods such as hyperparameter tuning and quantization, compare multiple model setups, and make evidence-based recommendations for production environments. By the end, learners can confidently balance accuracy and performance constraints to choose the right model for their needs.

Instructor

ansrsource instructors

Frequently Asked Questions

How much does Optimize Deep Learning Models for Peak AI cost?
Visit the Optimize Deep Learning Models for Peak AI course page for current pricing and available discounts.
Who teaches Optimize Deep Learning Models for Peak AI?
Optimize Deep Learning Models for Peak AI is taught by ansrsource instructors, Coursera.
What skill level is Optimize Deep Learning Models for Peak AI for?
This course is designed for all levels learners.