Skill

Improve Transfer Learning Models with Callbacks

December 2024 with Jonathan Barrios

Join Jonathan Barrios as we learn how to enhance and optimize our models during training using callbacks, tools that help monitor progress, prevent overfitting, and save the best-performing versions of our models.

Recommended Experience

Familiarity with Python programming
Basic understanding of machine learning workflows
Experience with transfer learning and using pre-trained models for new datasets

Related certifications

Professional TensorFlow Developer

Related Job Functions

Machine learning engineer
Deep learning specialist
AI Developer

Jonathan Barrios brings over a decade of teaching experience to deliver cutting-edge programming, data analytics, data science, and machine learning skills to CBT Nuggets.

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Skill Outline

1. Load Reduced Dataset (13:57)
2. Custom Callbacks (5:14)
3. Model Checkpoint Callbacks (4:49)
4. Early Stopping Callbacks (5:32)
5. Challenge (5:03)

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