title: Training neural network tips
body: <p>For object recognition propose I've to use a neural network in MATLAB. I have 30 objects and 20 images for each object, so I have 600 input data and 20 different classes. Input matrix is 100x600 and target is 1x600. Input matrix columns is a histogram of keypoints' Hue in 100 bins like this: <code>(m,n)=hist(hue_val,100)</code> that I took <code>m</code>.<br/>If I chose MLP network, how many layers and neurons for those layers are needed, which transfer functions is suitable for each layer?<br/><br/>
  And for last question, do I need negative samples?</p>