Digit Recognizer in MATLAB using MNIST Dataset

Features Includes:
  • Self-paced with Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App

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    IT & Software Systems

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Hand Written Character Recognition have always been a tricky task for machines, as well as humans. Designing a Machine Learning Model to automatically detect hand written characters is challenging as well as exciting technique. This Course will guide you through the process of understanding MNIST dataset, which is a benchmark dataset for hand written characters, and training a machine learning model on that dataset for designing a digit recognizer of your own.

Who this course is for:

  • Anyone interested in designing Neural Network in MATLAB
  • Anyone who wants to learn about working on MNIST Dataset
  • Anyone interested in starting Machine Learning

Basic knowledge
  • Basic Knowledge of MATLAB can be helpful and a basic understanding of Machine Learning and Neural Networks is must. Refer to my previous course for that

What will you learn
  • A clear understanding of MNIST Dataset and how it is helpful in Hand written character Recognition. Training a complex model on the dataset in simple steps. Analysis of the model and using it for further predictions
Course Curriculum
Number of Lectures: 6 Total Duration: 00:52:26

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