Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores the intricate relationship between architecture and nature through the refurbishment of a townhouse and the transformation of a campsite into a habitable garden space.
Covers the fundamentals of multilayer neural networks and deep learning, including back-propagation and network architectures like LeNet, AlexNet, and VGG-16.
