Neural Networks for Machine Learning Using the derivatives computed by backpropagation 10 min mp4

Neural Networks for Machine Learning
Using the derivatives computed by backpropagation 10 min mp4

Name	Neural Networks for Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	927.5 MB
Total Files	79
Hash	C44EA3E669C895B7EF510B09CA044C03B500DC8F

/3 - 5 - Using the derivatives computed by backpropagation [10 min].mp4	11.7 MB
/13 - 1 - The ups and downs of back propagation [10 min].mp4	12.4 MB
/3 - 1 - Learning the weights of a linear neuron [12 min].mp4	14.2 MB
/11 - 4 - Using stochastic units to improv search [11 min].mp4	12.3 MB
/9 - 3 - Using noise as a regularizer [7 min].mp4	8.9 MB
/4 - 3 - Another diversion The softmax output function [7 min].mp4	8.4 MB
/3 - 3 - Learning the weights of a logistic output neuron [4 min].mp4	4.6 MB
/14 - 1 - Learning layers of features by stacking RBMs [17 min].mp4	21.0 MB
/5 - 3 - Convolutional nets for digit recognition [16 min].mp4	19.4 MB
/2 - 5 - What perceptrons cant do [15 min].mp4	17.4 MB
/9 - 1 - Overview of ways to improve generalization [12 min].mp4	14.2 MB
/9 - 2 - Limiting the size of the weights [6 min].mp4	7.7 MB
/7 - 2 - Training RNNs with back propagation.mp4	7.7 MB
/2 - 3 - A geometrical view of perceptrons [6 min].mp4	7.7 MB
/5 - 4 - Convolutional nets for object recognition [17min].mp4	24.1 MB
Showing first 15 files of 79 total files