Introduction to Machine Learning with ENCOG 3

Resumen

This machine-learning course is dedicated to the implementation and applications of various methods using ENCOG 3. Initiate your free trial today!

While the domain of machine learning is extensive, this course narrows its focus to neural networks.

We begin by building a foundation, explaining machine learning through real-world applications and associated components.

We utilize ENCOG, an open-source machine learning framework for .NET. The course details how ENCOG integrates into machine learning programming.

You'll learn to create various neural network components with ENCOG and how to combine these for practical scenarios.

The curriculum delves into feed-forward networks and explores different propagation training methodologies supported by ENCOG. We'll cover data preparation for neural networks, including the normalization process.

To reinforce learning, we will examine several case studies, implementing tasks like classification and regression.

In addition, I'll provide tips and tricks for efficient and rapid implementation of neural networks in real-world applications.

Provider:

Pluralsight

University:

Categories:

Machine Learning Courses, Neural Networks Courses, Classification Courses, Data Preparation Courses

Materias