CNN & Image Classification Workshop

Birla Institute of Technology and Science, Pilani- Dubai, Academic City, Dubai, 345055

GDG on Campus BITS Pilani - Dubai, United Arab Emirates

Learn CNNs in the GDG CNN & Image Classification Workshop! Master the fundamentals by exploring CNN architecture and building your own image classifier using Python and TensorFlow/PyTorch. Perfect for beginners and enthusiasts, this hands-on session is designed to elevate your deep learning and computer vision skills.

Feb 20, 7:00 – 8:30 AM (UTC)

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About this event

Join us for the GDG CNN & Image Classification Workshop, an immersive experience designed to equip you with essential deep learning skills for creating accurate image classification models.

This workshop is divided into two engaging parts to enhance your learning:

Part 1:

Discover the fundamentals of Convolutional Neural Networks (CNNs). Learn about convolution layers, pooling operations, activation functions, and how these components work together to extract meaningful features from images.

Part 2:

Put theory into practice by building and training your own image classifier using Python and TensorFlow/PyTorch. You’ll gain hands-on experience in data preprocessing, model fine-tuning, and performance evaluation.

Whether you’re new to deep learning or looking to sharpen your computer vision skills, this hands-on workshop is tailored to help you master CNNs and apply them to real-world projects.

Takeaways from the workshop include:

• A comprehensive understanding of CNN architecture and image classification principles.

• Practical skills for building and fine-tuning deep learning models.

• A completed project to showcase your learning journey.

Join us as we dive into the world of deep learning and computer vision!

When

When

Thursday, February 20, 2025
7:00 AM – 8:30 AM (UTC)

Organizers

  • Nishit Batwal

    Lead

  • Sivaa B

    Co-Lead

  • Mohammed Husamuddin

    Google Developers Groups

    Ex-Officio/Mentor

  • Asfiya Tehmeen

    Creative/Marketing Lead

  • Mohammed Omer Yousuf Ali

    Co-Lead

  • Riddhi Goswami

    Management Lead

  • Faaizah Rajeev

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