{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2864e41a86684dc5bef700d820283768\" frameborder=\"0\" width=\"2580\" height=\"1935\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1935,"width":2580,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1935,"thumbnail_width":2580,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2864e41a86684dc5bef700d820283768-de1b349bcb9c405a.gif","duration":2470.167,"title":"AI Crash Course for Veterinarians 🐾  Part 2: A Brief Primer to GenAI in VetMed","description":"In this video, I delve into the evolution of neural networks, focusing on the Perceptron model from 1969 and its relevance today. I explore the intricate math behind neural networks and the importance of visual representation in understanding complex concepts. Join me as we analyze a large dataset of handwritten numbers and discuss the challenges of training models effectively. No action requested, just a deep dive into the world of neural networks."}