Introduction to Neural Networks Introduction to Neural Networks

Introduction to Neural Networks

Introduction to Neural Networks

Course Provider

Introduction to Neural Networks

Course Highlights:

  • This course is curated essentially to explain to you the basic principles and working of the neural networks.
  • The learning that you will develop from this course will guide you into building some of the most complex networks in the domain of Deep Learning.
  • These are popular courses sold by Analyttica across the globe.
  • Certificate by Analyttica on course completion.
  • FutureSkills Prime badge that can be added to your LinkedIn profile.

What will you learn in Introduction to Neural Networks course?

Neural Networks allow you to process very large amounts of data. Feedforward neural networks are the most basic types of neural networks and through this course, you will develop an understanding of each aspect of feedforward neural networks. Then you will be given adequate hands-on practice using various business problems.

Introduction to Neural Networks

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    AI/BD
  • course-category-icon Course Category
    Popular Tech Topics
    • cost-white-icon Course Price
      INR 3,600
      + 18% GST
    • duration-white-icon Course Duration
      20 Hours
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Why you should take Introduction to Neural Networks course?

Through an experiment learning approach, you will get an understanding of the below concepts:

  • The architecture of the Feedforward neural networks
  • Hyperparameters associated with the neural networks
  • Challenges faced in training neural networks
  • Different optimization and regularization techniques used in neural networks
  • Important concepts from the Deep learning domain

Who should take Introduction to Neural Networks course?

Any enthusiast in Data Analytics can take the course.

Curriculum

This course is divided into two modules containing-

  • 2 reading materials to teach you the theoretical concepts, one for each module.
  • 2 Audio-Video Collaterals
  • 4 practice "milestone-based" data cases to apply the skills gained to solve a business problem
  • 4 quizzes to validate your learning.
  • 2 datasets to solve a business case

Tools you will learn in Introduction to Neural Networks course

Analyttica TreasureHunt® LEAPS Virtual Lab

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