Convolutional Neural Networks for Visual Recognition (Stanford)

• 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 6 Training Neural Networks I
• Lecture 7 Training Neural Networks II
• Lecture 8 Deep Learning Software
• Lecture 9 CNN Architectures
• Lecture 10 Recurrent Neural Networks
• 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