Lecture
This lecture explores the applications of convolutional networks beyond object recognition, focusing on their impact on neuroscience, brain sciences, and art. The lecture discusses the similarities between ConvNets and the visual system, visualizing ConvNets, caption generation, generative models of images, and key takeaways on inductive biases, transfer learning, and data augmentation.