matlab deep learning toolbox

LearningFCN + DENSECRF Precise segmentation + semantic tags. In the image of the foreground target detection segmentation is done well, the following can also make semantic detection, to determine what the picture belongs to. This demo was based on our ICCV paper:conditional the Random fields as recurrent neural Networks,The test URL and the test image are as follows:Http://www.robots.ox.ac.uk/~szheng/crfasrnndemo 　　 A further article on neural network improvement methods is recommended:http:/

surf, orElseThe axes'll be flippedj_vals= J_vals ';%Surface Plotfigure;surf (theta0_vals, Theta1_vals, j_vals) Xlabel (' \theta_0 '); Ylabel (' \theta_1 ');%Contour plotfigure;% Plot j_vals as contours spaced logarithmically between 0.01 and 100Contour (theta0_vals, Theta1_vals, J_vals, Logspace (-2, 2, 15))%Draw the Contour line Xlabel (' \theta_0 '); Ylabel (' \theta_1 ');% is similar to an escape character, but can only be a parameter 0~9Resources:http://openclassroom.stanford.edu/MainFolder

Use of functionsThis is the definition of the function, the declaration of the keyword + defined function name + the name of the formal parameter, the blogger returns two values, the function of the specific functions in the back againThis is the initialization of a 5x2 matrix, and the initial value is 1. Here's a way to initialize the matrix.This is to declare a 2x5 matrix before calling the fill () method whose values are all initialized to 4.Input a A A, a matrix into the addtensors function,