Image Recognition for Beginners using CNN in R Studio | FREE Udemy Course

Free Certification Course Title: Image Recognition for Beginners using CNN in R Studio

Deep Learning-based Convolutional Neural Networks (CNN) for Image recognition using Keras and Tensorflow in R Studio

Requirements:

  • Students will need to install R and RStudio software but we have a separate lecture to help you install the same

What you’ll learn:

  • Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning
  • Build an end-to-end Image recognition project in R
  • Learn usage of Keras and Tensorflow libraries
  • Use Artificial Neural Networks (ANN) to make predictions

Who this course is for:

  • People pursuing a career in data science
  • Working Professionals beginning their Deep Learning journey
  • Anyone curious to master image recognition from Beginner level in short span of time
  • After completing this course you will be able to:

    • Identify the Image Recognition problems which can be solved using CNN Models.
    • Create CNN models in R using Keras and Tensorflow libraries and analyze their results.
    • Confidently practice, discuss and understand Deep Learning concepts
    • Have a clear understanding of Advanced Image Recognition models such as LeNet, GoogleNet, VGG16 etc.

    This course includes:

    • 6 hours on-demand video
    • 3 articles
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

      How to get Image Recognition for Beginners using CNN in R Studio?

      1. Sign Up on Udemy.com
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