On January 31 we’ll be joined by Andriy Ryzhyi, ML Lead Engineer at Skylum with 6+ years of experience.
Get ready to learn…
🔹 All about CNN: architecture, evolution (from AlexNet to EfficientNet), advantages and disadvantages
🔹 Basics of Vision Transformers: working principle, self-attention mechanism, comparison with CNN
🔹 Examples of models: from the first ViT to the modern FastViT.
🔹CNN vs. ViT: comparison of principles of operation, speed and complexity of launching models locally
🔹Skylum experience: where does the company use CNN, and where and why it uses ViT?
See you on January 31 at 19:00 EEST!
🔗 Complete the registration form to join: https://forms.gle/2DYoUcYk5KmLmC5FA
