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I am learning neural networks, I am doing some small exercises to learn it, but I have a huge question that I cannot figure it out. If I have a time series(input=X, target=T), and …
I am training a set of images to classify it in ANN.But in neural networks how can we train a set of images and how can test image is sent as a input to check the trained images. f…
hello i want to ask if it is possible to create a neural network in mat lab that is able to have at least 4 states which gets activated randomly based on what input we may give.Sup…
Hello world.! I have recently been studying neural networks, so I may ask something obvious, but I figured out that when I replicate my inputs and outputs and then train the networ…
What kind of RMSE should I choose to show the capability of function approximation with Neural Networks ? This Data set shown below is one of My Data set for function approximati…
Using weights from OL in CL training; how should the weight vector(s)/cell matrices be formatted when used as input in train() ? I am trying to attach the weights obtained in OL in…
Suppose I want to recognise a particular face I am extracting sift points from it and feeding it as a input vector . Then what should be the output ? I am talking during the traini…
To train the CNN, RGB images(in some cases color-ROI) are preprocessed by resizing it to the smallest dimension to 256, and then we crop center 256*256 region. After this per-pixel…
I have a feature vector of the size 10000x400(400 samples) and target matrix is 40x400(40 classes).The input feature vecotr for each sample has 10,000 rows which have values like 0…
I am working on creating a function fitting neural network with the neural network toolbox but I haven't had much success getting it to work correctly. I have an input matrix with …