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Ile 6

PyBrain is an open-source library for machine learning that utilizes neural networks and offers tools like BackpropTrainer and TrainUntilConvergence for training. It supports various network types and integrates well with Python libraries for data visualization, although it has limitations in community support for troubleshooting. Overall, PyBrain is user-friendly for newcomers but may lack extensive documentation for advanced issues.

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30 views1 page

Ile 6

PyBrain is an open-source library for machine learning that utilizes neural networks and offers tools like BackpropTrainer and TrainUntilConvergence for training. It supports various network types and integrates well with Python libraries for data visualization, although it has limitations in community support for troubleshooting. Overall, PyBrain is user-friendly for newcomers but may lack extensive documentation for advanced issues.

Uploaded by

PT A
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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PyBrain

When we create a network, i.e., neural network, it will get trained based on the training
data given to it. Now whether the network is trained properly or not will depend on the
prediction of test data tested on that network. The most important concept in Pybrain
Training is the use of BackpropTrainer and TrainUntilConvergence.

BackpropTrainer: It is a trainer that trains the parameters of a module according to a


supervised or ClassificationDataSet dataset (potentially sequential) by backpropagating
the errors (through time).

TrainUntilConvergence: It is used to train the module on the dataset until it converges.

Tools
Pybrain offers tools modules which can help to build a network by importing package:
pybrain.tools.shortcuts.buildNetwork

Visualization
The testing data cannot be visualized using pybrain. But Pybrain can work with other
frameworks like Mathplotlib, pyplot to visualize the data.

Advantages of Pybrain
The advantages of Pybrain are:

 Pybrain is an open-source free library to learn Machine Learning. It is a good start


for any newcomer interested in Machine Learning.

 Pybrain uses python to implement it and that makes it fast in development in


comparison to languages like Java/C++.

 Pybrain works easily with other libraries of python to visualize data.

 Pybrain offers support for popular networks like Feed-Forward Network, Recurrent
Networks, Neural Networks, etc.

 Working with .csv to load datasets is very easy in Pybrain. It also allows using
datasets from another library.

 Training and testing of data are easy using Pybrain trainers.

Limitations of Pybrain
Pybrain offers less help for any issues faced. There are some queries unanswered on
stackoverflow and on Google Group.

Workflow of Pybrain
As per Pybrain documentation the flow of machine learning is shown in the following figure:

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