Code an MLP with backpropagation learning algorithm
Train the MLP with the spiral data set. Plot the spiral dataset using Matlab
Test the trained MLP with provided data set
Repeat steps 2 and 3 with two changes for each of: learning rate, hidden layer, number of hidden neurons, sigmoidal/tang activation function
Report on your training and testing results and make conclusions on the performance of the MLP based on step 4 experiments
I have a good experience of working with neural network functions .I can do this thing very easily . If you want to do your job perfectly then let us talk.
kind regards
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Hi!
I am a PhD student in Machine Learning and I have several years of coding experience in Matlab and Python. I hold a Master's in AI and I have developed many neural network (of different architectures) in the past years.
Regards,
Peter