ai with python neural networks neural networks are parallel computing devices that are an attempt to make computer model of brain the main objective behind is to develop system to perform various computational task faster than the traditional systems these tasks include pattern recognition and classificationapproximationoptimization and data clustering what is artificial neural networks (annartificial neural network (annis an efficient computing system whose central theme is borrowed from the analogy of biological neural networks anns are also named as artificial neural systemsparallel distributed processing systemsand connectionist systems ann acquires large collection of units that are interconnected in some pattern to allow communications between them these unitsalso referred to as nodes or neuronsare simple processors which operate in parallel every neuron is connected with other neuron through connection link each connection link is associated with weight having the information about the input signal this is the most useful information for neurons to solve particular problem because the weight usually excites or inhibits the signal that is being communicated each neuron is having its internal state which is called activation signal output signalswhich are produced after combining input signals and activation rulemay be sent to other units if you want to study neural networks in detail then you can follow the linkinstalling useful packages for creating neural networks in pythonwe can use powerful package for neural networks called neurolab it is library of basic neural networks algorithms with flexible network configurations and learning algorithms for python you can install this package with the help of the following command on command promptpip install neurolab if you are using the anaconda environmentthen use the following command to install neurolabconda install - labfabulous neurolab building neural networks in this sectionlet us build some neural networks in python by using the neurolab package