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Home » Applied Sciences » Computer Science » Convolutional Neural Networks for Visual Recognition (Stanford) » Lecture 16 Adversarial Examples and Adversarial Training

Lecture 16 Adversarial Examples and Adversarial Training

Course:Convolutional Neural Networks for Visual Recognition (Stanford)
Discipline:Applied Sciences
Institute:Stanford
Instructor(s): Fei-Fei Li, Justin Johnson, Serena Yeung
Level:Graduate

Convolutional Neural Networks for Visual Recognition (Stanford)

Lecture 1 Introduction to Convolutional Neural Networks for Visual Recognition
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
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

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