Applied Deep Learning mini-course offered by Nishanth Shetty at BNMIT covered the basics of deep learning, introduced the popular deep learning library PyTorch, and taught the students to solve regression and classification problems with linear and logistic regression, respectively. They were also introduced to neural networks and their application to solving classification and regression problems, the famous bias-variance tradeoff from supervised learning and tools to combat it with regularization. The course ended with an introduction to convolutional neural networks to solve image classification problems. The course was mostly hands-on, with the students being encouraged to solve a lot of exercises to help them ‘grok’ the concepts taught.