How to create a neural network in simple ways via Python?
When it comes to the machine learning language, it is seen that all the machine learning beginners, as well as enthusiasts, need some kind of experience in Python. It is said that when you are going for the creation of the network, you can have Neural Network Training at earliest.
If you are in search of How to create a neural network, then here is the step for that.
Step 1:
Before starting the creation of the neural network, you need to install libraries for that. But while going to do this, you need to install the 64-bit Architecture and need to have Keras.
Step 2:
After doing this all, you need to go for import of libraries. Then you need to initialize the artificial neural network for the same. If you want to learn this, then you can go for Neural Network Training.
Step 3:
After all this, you need to create the input-layer for the program. Then you need to create the first hidden layer for the same.
Step 4:
After all this, you need to create the second hidden layer for the network.
Step 5:
Then you will be creating the output layer.
Step 6:
Then you need to compile the ANN classifier for the same.
Step 7:
Then you need to fit the model with the training set.
So if you want to create the network, then here is the list of steps that you need to follow to create the network in python.
