About this event

Neural networks are revolutionizing how we approach complex problems. However, understanding their underlying mechanics is crucial for effective implementation. This workshop is designed to demystify the process of building neural networks from scratch.Most resources focus on high-level APIs, obscuring the fundamental principles. This session will provide a hands-on experience, guiding you through each step of the process. You'll gain insights into the mathematical foundations and practical considerations necessary for creating your own neural networks.Join Dr. Anya Sharma and Kai Ito as they share their expertise in machine learning and guide you through building neural networks from the ground up. Discover how to optimize performance, troubleshoot common issues, and adapt networks to various applications.

You’ll learn how to:

• Grasp Core Concepts: Understand the basic building blocks of neural networks, including neurons, layers, and activation functions.
• Implement Backpropagation: Learn how to train your network using backpropagation and gradient descent.
• Optimize Performance: Discover techniques for improving network accuracy and efficiency.
• Customize Architectures: Explore different network architectures and how to tailor them to specific tasks.