An introduction to neural networks, both as a framework to perform machine learning and as a model of biological brains. Students get hands-on experience implementing, interpreting, and analyzing the neural models covered in lecture each week with regular projects that explore application areas in human perception, pattern recognition, memory, and sequence learning. Lectures and projects will develop skills in working with large image and text datasets.