推荐｜斯坦福2017春季CS231n深度视觉识别课程视频（资源）
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《Convolutional Neural Networks for Visual Recognition (CS231n Spring 2017) - YouTube》by Fei-Fei Li, Justin Johnson, Serena Yeung
Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition
https://www.youtube.com/watch?v=vT1JzLTH4G4&index=1&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
Lecture 2 | Image Classification
https://www.youtube.com/watch?v=OoUX-nOEjG0&index=2&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
Lecture 3 | Loss Functions and Optimization
https://www.youtube.com/watch?v=h7iBpEHGVNc&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=3
Lecture 4 | Introduction to Neural Networks
https://www.youtube.com/watch?v=d14TUNcbn1k&index=4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
Lecture 5 | Convolutional Neural Networks
https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=5
Lecture 6 | Training Neural Networks I
https://www.youtube.com/watch?v=wEoyxE0GP2M&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=6
Lecture 7 | Training Neural Networks II
https://www.youtube.com/watch?v=_JB0AO7QxSA&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=7
Lecture 8 | Deep Learning Software
https://www.youtube.com/watch?v=6SlgtELqOWc&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=8
Lecture 9 | CNN Architectures
https://www.youtube.com/watch?v=DAOcjicFr1Y&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=9
Lecture 10 | Recurrent Neural Networks
https://www.youtube.com/watch?v=6niqTuYFZLQ&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=10
Lecture 11 | Detection and Segmentation
https://www.youtube.com/watch?v=nDPWywWRIRo&index=11&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
Lecture 12 | Visualizing and Understanding
https://www.youtube.com/watch?v=6wcs6szJWMY&index=12&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
Lecture 13 | Generative Models
https://www.youtube.com/watch?v=5WoItGTWV54&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=13
Lecture 14 | Deep Reinforcement Learning
https://www.youtube.com/watch?v=lvoHnicueoE&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=14
Lecture 15 | Efficient Methods and Hardware for Deep Learning
https://www.youtube.com/watch?v=eZdOkDtYMoo&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=15
Lecture 16 | Adversarial Examples and Adversarial Training
https://www.youtube.com/watch?v=CIfsB_EYsVI&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv&index=16