- Instructor: Elsa Nielsen
- Lectures: 17
- Students: 86
- Duration: 10 weeks
Pybrain is an open-source library for Machine learning implemented using python. The library offers you some easy to use training algorithms for networks, datasets, trainers to train and test the network.
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Before proceeding with this tutorial, you should have a basic understanding of Python and Machine Learning.
Before you start proceeding with this course on Academy Europe, we are assuming that you have a good aptitude and can think logically. You should want to try something different.
Ideal candidates for the course would typically possess:
– Discipline and attentiveness
– Ability to conduct research
– Ability to perform tasks with speed, efficiency, and accuracy
– Analytical judgment
– Patience to interpret technical/scientific data
– A willingness to learn, roll up your sleeves and work toward your dream!
– A computer, tablet or smartphone and an internet connection
– Basic computer skills
This tutorial is designed for software programmers who want to learn the basics of Pybrain and its programming concepts in a simple and easy manner. This tutorial will give enough understanding on the various functionalities of Pybrain with suitable examples.
This course by Academy Europe aims at imparting quality education and training to students.
Academy Europe is dedicated to its students, their specific learning requirements, and their overall learning success.
This course is directed toward a student-centered, independent study, asynchronous learning approach.
After completing this course on Academy Europe, students will get self improvement and promotion in their careers.
This course is based on at least two learning skills which are provided to the users through audio & visuals, videos, verbal presentations and articles, all of which are asynchronized with distance education approach.
PyBrain - Overview
PyBrain - Environment Setup
PyBrain - Introduction to PyBrain Networks
PyBrain - Working With Networks
PyBrain - Working with Datasets
PyBrain - Datasets Types
PyBrain - Importing Data For Datasets
PyBrain - Training Datasets on Networks
PyBrain - Testing Network
PyBrain - Working with Feed-Forward Networks
PyBrain - Working with Recurrent Networks
Training Network Using Optimization Algorithms
PyBrain - Layers
PyBrain - Connections
PyBrain - Reinforcement Learning Module
PyBrain - API & Tools
PyBrain - Examples