Digit Recognizer in MATLAB using MNIST Dataset - Simpliv

Website https://www.simpliv.com/machinelearning/digit-recognizer-in-matlab-using-mnist-dataset | Edit Freely

Category training;webinar

Deadline: April 24, 2019 | Date: April 24, 2019-May 03, 2019

Venue/Country: online course, U.S.A

Updated: 2019-04-22 20:11:59 (GMT+9)

Call For Papers - CFP

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 you will 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

Contact Us:

simplivllcgmail.com

Phone: 76760-08458

Email: sudheersimpliv.com

Phone: 9538055093

To read more and register: https://www.simpliv.com/machinelearning/digit-recognizer-in-matlab-using-mnist-dataset