how to evaluate my result knn code using confusion matrix

Why are the results of forward and predict very different in deep learning?

How does the Classification Learner App generate ROC curves for Decision trees and how do I tune the sensitivity/specificity trade-off of the current classifier?

What is the best technique to do image similarity on a pair of images that are only line segments and provides a value on how similar they are?

Weight decay parameter and Jacobian matrix of a neural network

I am doing a project on face recognition for total 180 images. I am using ICA algorithm. I have used convolution till now and the next step is to find Euclidean distance between training & test images.please tell me the code for Euclidean distance

What is the difference between recurrent neural network and NAR and NARX networks? Is there any good literature available to understand the difference between them, especially the training algorithms in MATLAB backend implementation. Thanks

Using inbuilt RANSAC function for circle fit in 2D data

how can i use recorded voices in matlab

Is Semantic Segmentation more accurate than Object Detection?

neural network fitting tool

How can I improve the performance of a feed-forward backpropagation neural network?

not getting good results while simulation in NNTOOL

How to plot test and validation accuracy every epoch using Computer vision system toolbox? And what about overfitting?

My work is on extracting features of Disease image to extract exact region of Interest of Disease which is the best features algorithm to be used

SUGGESTIONS FOR IMPROVEMENT(S) ON NARNET MULTISTEP AHEAD PREDICTIONS ON THE SOLAR DATASET?

In a custom deep learning training loop, can I use my own custom function for computing the gradients?

Neural networks for XOR function with training data set

How to use a custom transfer function in neural net training

Neural Network is giving incorrect results after 99.4 % training , Why?

No matter what I try, I cannot get these plots to come up in separate figure windows.

How to cluster big training matrix using K-means algorithm

Bounded neural network output

Why are all the examples for matlab functions hindered by useless simplistic examples that do not show how all features of the functions work? One cannot determine how to use any function of any complexity with the examples given.

semantic segmantation outputs only one class