digit recognition on MATLABDesign a fully convolutional neural network for digit classifi cation and train it on the MNIST dataset. MNIST provides images of the digits 0 to 9 of size 28 28, together...

digit recognition on MATLABDesign a fully convolutional neural network for digit classifi

cation and train it on the MNIST dataset. MNIST provides images of the digits 0 to 9 of size 28 28, together with the label for which digit is shown in a given image. Your fully convolutional neutral should be trained to produce the correct label for the center of the output of your last layer. MNIST provides training and validation data that you should use for training your neural network. Try out different architectures until you achieve at least 97% accuracy on the test set. Since MNIST is a relatively easy dataset, a few layers should be sufficient for this.Once you have trained your network, you can apply it on one of the evaluation images provided. Use non-maximum suppression and thresholding to obtain your digit predictions and write out the detected digits (no particular order required) on MATLAB's output line. Note that you will need to detect digits at multiple scales.