video1.0<iframe src="https://www.loom.com/embed/5d04822a0933427d971d320f64687730" frameborder="0" width="1890" height="1417" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14171890Loomhttps://www.loom.com14171890https://cdn.loom.com/sessions/thumbnails/5d04822a0933427d971d320f64687730-9804012f5b000e1f.gif242.372In this video, I introduced WeightsLab, a visual control panel designed for AI developers to inspect, modify, and enhance deep neural networks during training. Using a simple example of a neural network trained on the MNIST dataset, I demonstrated how to manipulate data by focusing on high-loss examples, which helped us reduce the dataset by around 95%. I also showed how to freeze layers and add capacity to improve the model, resulting in an accuracy increase from 86% to 92% with just 5% of the initial dataset. I encourage you to explore WeightsLab to see how it can transform your approach to AI model training and debugging.