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How can we save the bias and variance of a trained network? thank you in advance …
I am working on a machine with a number of CPU cores (40) and a number of GPUs (4). I need to train a large number of shallow LSTM neural networks (~500,000), and would like to use…
I have a vector A of 30 elements. Each of those elements could be one of three values (1, 2 or 3). There are therefore there are 30^3=27000 possible vectors A. How could I create a…
I am doing a project on vehicle type classification with Neural Networks( classification basis is => sedan,pick up,hatchback,etc type vehicles.) I am doing image processing for t…
Good Afternoon, Looking around ANSWER and exploring GOOGLE GROUPS i found this method by Dr. Greg Heath to define a valid training goal for the MSE performance function: [I,N]=s…
I have three questions regarding the difference between a closed-loop and an open-loop narxnet, and it's behavior. First, a little about the problem I'm trying to solve. I have an …
Hello I am trying to use neural network to make some prediction based on my input and target data. I have read all related tutorial in Matlab and also looked at the matlab examples…
if we planned to do a training using greyscale images with pretrained model. It will show error. Is there is any method to train these type of images. That means apart from RGB ima…
My goal is to train a neural network to classify objects form pictures of my webcam. I use transfer learning with Alexnet and I have a labeled training data set with 25,000 images.…
I want to predict the future prices, I have used only the daily historical prices as input. I can predict only one step ahead using this code: clear all; clear all; load('pri…