Saving and loading Models

DEDAN KIMATHI UNIVERSITY, RC 17, Nyeri, 12345

Master the art of saving and loading your deep learning models in Python! This interactive session delves into essential techniques for persistence, covering popular libraries like TensorFlow. Discover how to efficiently save trained models, fine-tune them later, and seamlessly integrate them into production pipelines.

Feb 27, 2:00 – 4:30 PM

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Key Themes

Machine LearningTensorFlow / Keras

About this event

Join us for an in-depth exploration of saving and loading models in the Python deep learning ecosystem. Whether you're a seasoned practitioner or just starting out, this session equips you with valuable knowledge and practical skills.

Key Takeaways:

  • Understand the importance of saving and loading models in deep learning.
  • Explore various saving methods with TensorFlow, PyTorch, and scikit-learn.
  • Learn best practices for efficient model persistence and reusability.
  • Discover techniques for fine-tuning saved models and deploying them in production.
  • Gain hands-on experience through interactive coding exercises.

When

When

Tuesday, February 27, 2024
2:00 PM – 4:30 PM UTC

Organizers

  • Mark Gatere

    GDSC Lead

  • Brian Muchai

    GDSC Co-Lead

  • Emmanuel Mutua

    Dekut

    Android Aficionado

  • Festus Gitahi

    Web Development Wonder

  • OMBATI OGETO BRIAN

    AI Visionary

  • Victor Mutethia

    Flutter Extraordinaire

  • george kimani

    UI/UX Maestro

  • Mergery Mukoma

    Game Dev Connoisseur

  • Nickson Kiprotich

    IoT Luminary

  • AMANDA FLAVIA AHONA

    Cybersecurity Sentinel

  • Ruth Kamau

    Events / Social Media Maven

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