This Deep Learning Neural Networks with R training has various pre-requisites, which are indicated below.

  • Learners should have a basic understanding of statistics, mathematics, and machine learning concepts.
  • Understanding regression modeling is the key to deep learning neural networks with R. (Linear and Multiple)

Target Audience

  • Students
  • Professionals seeking to build competencies on neural networks using R-programming
  • Managers seeking to understand R-programming from operational and syntactical implementation perspective

FAQ – General Questions

Is this a live or recorded training session?

It is a virtual instructor-led interactive session that takes place at a set time when both you and the trainer check-in. Will record the live session so that you can review and recap any missed sessions.

Watch our Demo Courses and Videos

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Can I access these Deep Learning – Neural Networks with R. live classes from anywhere?

Yes, because the live classes will be held online on the Zoom Platform, you can access them anywhere.

All you need is to participate in the Zoom sessions using a laptop or computer.

What if I miss any class? Will there be any other batch where I can join?

Not a problem. We will provide you with lifetime access to the recordings and reference files so that you may go over them and practice on your own.

What is Deep Learning’s Future?

Deep learning has advanced significantly in recent years, yet much-untapped potential remains. We are still in the early phases of this field, with almost daily advancements. One of the future use-cases that we can surely see is in the automobile business, where Deep Learning can transform it by making self-driving cars a reality.

What role do neural networks play in deep learning?

Neural networks mimic human brain behavior, allowing computer programs to discover patterns and solve common challenges in AI, machine learning, and deep learning.