Okay to create a neural network in Python, we need to import a library. So we need to import from these SK learn dot neural network, we import an MLP classifier. So mlps are a neural network is a multi layer perceptron neural network. So we put a classifier here. So to create a model for this multi layer perceptron classifier we can do something that is MLP cross sci fi Yeah, there we can put in a hidden layer and a size equal route 1010 1010 and then the messy Manitoba He's around 1000 okay then we can train the model model dot fit x train y train okay then we can do the prediction prediction equal model dot predict x test then we can do brain prediction ok for this hidden the size here. So we have a raw I will say in this case we have around four hidden years.

So, in each day we have around 10 neurons or 10 perceptron So, we have a 10% transfer the first hidden the second person Trump or the second hidden the top 10% Trump are the hidden here and then 10% Trump or the fourth hidden layer. So we have a 10 perceptrons for the first hidden layer, say 10 perceptrons for the second eternia 10 perceptrons for the hidden layer and under false. For hidden layer we have 10 perceptrons also, so we can run this Python code so we should get all the previous