ML Paper Reading Club

Ajeenkya DY Patil University, Airport Road, Pune, 412105

GDG on Campus Ajeenkya DY Patil University - Pune, India

📢 Join us for an exciting ML Paper Reading Club Session 1 !!Are you ready to dive deep into one of the most groundbreaki...

Jan 28, 8:30 – 11:30 AM (UTC)

110 RSVP'd

Key Themes

Machine Learning

About this event

📢 Join us for an exciting ML Paper Reading Club Session 1 !!

Are you ready to dive deep into one of the most groundbreaking works in machine learning?

Join us as we explore the influential paper:

📜 "ImageNet Classification with Deep Convolutional Neural Networks"

What to Expect:

The session will begin with an introduction to AI/ML, followed by a deep dive into CNNs, covering foundational concepts, advanced techniques like optimization and regularization, and key tools like GPUs and the ImageNet dataset.

Following this, we’ll:

  • 🔍 Breakdown: We'll demystify the key concepts and contributions of the paper, making it approachable for all participants.
  • 💬 Discussion: Engage in an interactive discussion on the ideas and implications of the work.
  • 💻 Implementation: Roll up your sleeves as we implement core ideas from the paper to better understand its impact in practice.

Why Attend This Session?

  • 🚀 Learn from a Landmark Paper: Dive into the foundational ideas of AlexNet, the architecture that revolutionized AI and deep learning.
  • 🧠 Engage and Explore: Break down complex concepts through interactive discussions and guided analysis.
  • 💡 Understand Practical Applications: Gain insights into how the ideas from the paper are implemented and used in real-world scenarios.

Whether you're an ML beginner or an experienced practitioner, this session has something for everyone!

Reserve your spot now!

Let’s dive into the world of deep learning and unravel the magic of convolutional neural networks together.

See you there! 🚀

When

When

Tuesday, January 28, 2025
8:30 AM – 11:30 AM (UTC)

Speaker

  • Sajid Tamboli

    AI/ML Lead

Organizers

  • Aryan Sinha

    Organizer

  • Manas Hiremath

    Co-Lead

  • Namoh Panchal

    Android Lead

  • Bhagvati Gaikwad

    Design Lead

  • Pranav Vaswani

    Web Development Lead

  • A Krishna Srikar

    Management Lead

  • Sajid Tamboli

    AI/ML Lead

  • Ketan Bondla

    Design Lead

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