E1.3 SR 015, Saarland Informatics Campus, Universität des Saarlandes, Saarbrücken, 66123
Saarland University - Saarbrücken, Germany
Learn to accurately segment organs and tissues in 3D imaging scans. Implement cutting-edge models in PyTorch and build production-ready pipelines with MLOps tools. Gain practical experience applying ML to real-world image segmentation challenges!!
🌐 Unlock the Power of Machine Learning in Image Segmentation! 🚀
Get ready for a journey into applied Machine Learning at our hands-on workshop, "3D Image Segmentation"! 🌟
🧠 Curious about leveraging ML for image segmentation? Learn to accurately segment organs and tissues in 3D medical image scans. Implement cutting-edge models in PyTorch and build production-ready pipelines with MLOps tools.
👨💻 Industry Expert Insights: Learn from a seasoned Google Developer Expert, Soumik Rakshit, who'll share real-world insights, experiences, and the key to applying ML to real-world image segmentation challenges.
🎁 Swags, Giveaways, and Prizes: Get ready to win exciting swags and fabulous prizes! 🎉
🍕 Pizza and Networking: Stick around for some delicious pizza and networking opportunities. Connect with fellow tech enthusiasts, share ideas, and explore potential collaborations.
🚨 Limited Seats: Limited seats available! Secure your spot now and be part of this journey.
🔗 Event Details:
📅 Date: June 5, 2024
🕒 Time: 6.00 pm - 7.30 pm
📍 Venue: Saarland University Informatics Campus, E1.3 SR 015, Saarbrücken, 66123
👨💻 About the Speaker:
Soumik Rakshit is currently working at Weights & Biases (W&B) as a Machine Learning Engineer. He is a Google Developer Expert in Machine Learning (JAX) and builds MLOps pipelines for open-source repositories like Keras, PyTorch-Geometric, Kaolin-Wisp, Ultralytics, MonAI, etc. He is currently working on Diffusion Models and Multi-modal ML models.
Don't miss the chance to be at the forefront of the ML revolution! Join us for an unforgettable session that promises knowledge, community, and a whole lot of fun! 🌐🚀 #MachineLearning #ImageSegmentation #ML #GDE #3D
Wednesday, June 5, 2024
4:00 PM – 5:30 PM UTC
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