2. [25] a. [10] What are the main differences between SOM and LVQ models ? b. [15] We want to classify hand written number digits (i.e. 0,1,2 to 9). We have MNIST data set containing 60.000 training images in the size of 28x28 and corresponding label. Besides, this data set contains 10.000 test images with their labels. By using LVQ 2.1 ANN model, we are going to train our model with this MNIST data set and after training completed we are going to ask test images to our set. i. Draw LVQ 2.1 Model. (What are the inputs ? What are the outputs ? All of them should be clearly seen on your model) ii. Write down the algorithm