| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 1 |
Lecture 1 Introduction to Convolutional Neural Networks for Visual Recognition
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 2 |
Lecture 10 Recurrent Neural Networks
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 3 |
Lecture 11 Detection and Segmentation
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 4 |
Lecture 12 Visualizing and Understanding
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 5 |
Lecture 13 Generative Models
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 6 |
Lecture 14 Deep Reinforcement Learning
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 7 |
Lecture 15 Efficient Methods and Hardware for Deep Learning
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 8 |
Lecture 16 Adversarial Examples and Adversarial Training
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 9 |
Lecture 2 Image Classification
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 10 |
Lecture 3 Loss Functions and Optimization
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 11 |
Lecture 4 Introduction to Neural Networks
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 12 |
Lecture 5 Convolutional Neural Networks
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 13 |
Lecture 6 Training Neural Networks I
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 14 |
Lecture 7 Training Neural Networks II
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 15 |
Lecture 8 Deep Learning Software
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|
| 16 |
Lecture 9 CNN Architectures
|
Convolutional Neural Networks for Visual Recognition (Stanford)
|
Stanford
|
Fei-Fei Li, Justin Johnson, Serena Yeung
|
Applied Sciences
|