Stanford University CS231n, Spring 2017
Lecture 2 - Image Classification
Lecture 3 - Loss Functions and Optimization
Lecture 4 - Backpropagation and Neural Networks
Lecture 5 - Convolutional Neural Networks
Lecture 6 - Training Neural Networks 1
Lecture 7 - Training Neural Networks 2
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