Convolutional Neural Networks for Visual Recognition

CS231n: Convolutional Neural Networks for Visual Recognition by Fei-Fei Li at Stanford University.

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 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