Lecture 5B : Ways to achieve viewpoint invariance
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013]
Lecture 5B : Ways to achieve viewpoint invariance
Видео Lecture 5B : Ways to achieve viewpoint invariance канала Blitz Kim
Lecture 5B : Ways to achieve viewpoint invariance
Видео Lecture 5B : Ways to achieve viewpoint invariance канала Blitz Kim
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Lecture 9B : Limiting the size of the weights](https://i.ytimg.com/vi/Gi36wfl6BAw/default.jpg)
![Lecture 3C : Learning the weights of a logistic output neuron](https://i.ytimg.com/vi/dSmtyGrCdx4/default.jpg)
![Lecture 6A : Overview of mini batch gradient descent](https://i.ytimg.com/vi/tCTfb6PAr4w/default.jpg)
![Lecture 13C : Learning Sigmoid Belief Nets](https://i.ytimg.com/vi/uVJi1lDOEVw/default.jpg)
![Lecture 16C : Bayesian optimization of neural network hyperparameters](https://i.ytimg.com/vi/ULuLoFIWQNc/default.jpg)
![Lecture 9F : MacKay's quick and dirty method of fixing weight costs](https://i.ytimg.com/vi/_WZAD2uhvUM/default.jpg)
![Lecture 1D : A simple example of learning](https://i.ytimg.com/vi/iryPlswgRSA/default.jpg)
![Lecture 0503 Backpropagation intuition](https://i.ytimg.com/vi/BBr32Wr4eCU/default.jpg)
![Lecture 16/16 : Recent applications of deep neural nets](https://i.ytimg.com/vi/rsWoLB1GSoQ/default.jpg)
![Lecture 0206 Normal equation](https://i.ytimg.com/vi/ffDmSbvuL8g/default.jpg)
![Lecture 0104 Unsupervised Learning](https://i.ytimg.com/vi/mvnWw50IPXA/default.jpg)
![Lecture 4E : Ways to deal with the large number of possible outputs](https://i.ytimg.com/vi/qzONfNBKUJM/default.jpg)
![Lecture 11B : Dealing with spurious minima in Hopfield Nets](https://i.ytimg.com/vi/uurQcZhzblA/default.jpg)
![Lecture 10/16 : Combining multiple neural networks to improve generalization](https://i.ytimg.com/vi/IVfAs03sBSU/default.jpg)
![Lecture 10C : The idea of full Bayesian learning](https://i.ytimg.com/vi/Ra6RSZPWw9w/default.jpg)
![Lecture 4D : Neuro-probabilistic language models](https://i.ytimg.com/vi/6IzhQvg0tNA/default.jpg)
![Lecture 13A : The ups and downs of backpropagation](https://i.ytimg.com/vi/MpLds0oohC8/default.jpg)
![Lecture 1E : Three types of learning](https://i.ytimg.com/vi/7IUhZ_XOYeU/default.jpg)
![Lecture 1B : What are neural networks?](https://i.ytimg.com/vi/0JrfYvn8zns/default.jpg)
![Lecture 06-01 Advice for applying machine learning](https://i.ytimg.com/vi/kX1yTdXq_Wc/default.jpg)