Artificial Neural Network

Neural networks are parallel computing devices, which are basically an attempt to make a computer model of the brain. The main objective is to develop a system to perform various computational tasks faster than the traditional systems. This tutorial covers the basic concept and terminologies involved in Artificial Neural Network. Sections of this tutorial also explain the architecture as well as the training algorithm of various networks used in ANN.

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Audience

This tutorial will be useful for graduates, post graduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.

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.



Prerequisites

ANN is an advanced topic, hence the reader must have basic knowledge of Algorithms, Programming, and Mathematics.

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


  • Artificial Neural Network - Basic Concepts 0/1

  • Artificial Neural Network - Building Blocks 0/1

  • Learning and Adaptation 0/1

  • Supervised Learning 0/1

  • Unsupervised Learning 0/1

  • Learning Vector Quantization 0/1

  • Adaptive Resonance Theory 0/1

  • Kohonen Self-Organizing Feature Maps 0/1

  • Associate Memory Network 0/1

  • Artificial Neural Network - Hopfield Networks 0/1

  • Boltzmann Machine 0/1

  • Brain-State-in-a-Box Network 0/1

  • Optimization Using Hopfield Network 0/1

  • Other Optimization Techniques 0/1

  • Artificial Neural Network - Genetic Algorithm 0/1

  • Applications of Neural Networks 0/1

  • Completion of Course 0/1

Price

Free