We are excited to announce our first webinar on “Developing Scalable CNN for Building Damage Classification” on 📅 March 28th at 12 - 2 PM Central Time.
For more information: This webinar will guide you through building and deploying effective Convolutional Neural Networks (CNNs) for automated building damage identification. We’ll cover image classification techniques, CNN fundamentals, and hands-on experience to empower you with the skills to scale your solutions.
Key Topics:
📌 Understanding Image Classification and CNNs: Explore basic machine learning models, Multi-layer Perceptrons (MLPs), and the core components of CNNs for image analysis.
📌 The Building Blocks of CNNs: Delve into the essential elements of CNNs, including convolutional layers, pooling, activation functions, and more.
📌 Training Deep Learning Models: Learn strategies for effectively training your models, including data augmentation and transfer learning techniques.
📌 Workflow for Deep Learning: Gain practical knowledge with a step-by-step deep learning workflow.
📌 Case Study: Natural Hazard Detection: See real-world applications of CNNs for building damage identification after natural disasters.
📌 Hands-on Session: Get hands-on experience building and deploying a CNN for damage classification using PyTorch.
📌 Homework: Solidify your knowledge with engaging homework assignments.
Please Register for the Webinar: https://lnkd.in/gSmwdYDM
https://lnkd.in/gTBQaHwb
