To clean NMR (nuclear magnetic resonance) data as a CNN (convolutional neural network) output and train the network using noisy input data, the following steps can be taken in MATLAB:
The following code provides an example of how to define a simple CNN architecture and train it on noisy NMR data:
main.m1092 chars35 lines
This code defines a simple CNN architecture consisting of two convolutional layers, two pooling layers, and a fully connected layer. The network is trained using the noisy NMR data and then used to predict and clean new input data.
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