Prerequisite: How to Install PyBrain on Windows?
PyBrain is the open-source library of python used to implement Machine learning algorithms. It is easy to use this library that can solve problems quickly using Machine learning algorithms. Developers are working on this library to make it more flexible, faster, and improving usability. PyBrain is a short form of Python-Based Reinforcement Learning, Artificial Intelligence, and Neural Network.
In PyBrain, networks are connected using connections. First, the new network is created, and then it is analyzed.
- Network Creation
- Analyze Network
Network Creation:
- We can use our Python interpreter to create a network and run our code. We will use buildNetwork() API to do so.
Python3
from pybrain.tools.shortcuts import buildNetwork net= buildNetwork(1,3,2) print(net) |
- We have created out a network using the IDLE shell using buildNetwork() with parameters 1,3,2 means that the network is built up using 1 input, 3 hidden, and 2 outputs. Now, write the print method to see the output.
- The Layers and Connections are FullConnection Objects as shown above in output.
Analyze Network:
We can get the connections and module layers by writing their names in square brackets as shown below:
Python3
from pybrain.tools.shortcuts import buildNetwork net = buildNetwork(1,3,2) print(net['in']) # print(net['out']) # print(net['hidden0']) |
