Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition Lecture 2 | Image Classification Lecture 3 | Loss Functions and Optimization Lecture 4 | Introduction to Neural Networks Lecture 5 | Convolutional Neural Networks Lecture 6 | Training Neural Networks I Lecture 7 | Training Neural Networks II Lecture 8 | Deep Learning Software Lecture 10 | Recurrent Neural Networks Lecture 9 | CNN Architectures Lecture 11 | Detection and Segmentation Lecture 12 | Visualizing and Understanding Lecture 13 | Generative Models Lecture 14 | Deep Reinforcement Learning Lecture 15 | Efficient Methods and Hardware for Deep Learning Lecture 16 | Adversarial Examples and Adversarial Training