Handwritten Digit Recognition using ML Project

Develop this important project with the help of expert guidance!

What you will learn
  • Build a Project from scratch!
  • Guidance from experts
  • Get a certificate
  • What you will receive?
  • What you will build?
  • Why build this project?
  • Mentor for this project:

What you will receive?

1. Project Tutorials

2. Online Course Material Certificate

3. One-on-One Expert Assistance.

What you will build?

1. Working Handwritten Digit Recognition Using ML

2. Project

3. Project Development Skills

4. Portfolio Tkinter GUI App

Why build this project?

1. Machine learning and deep learning plays an important role in computer technology and artificial intelligence.

2. In this project course, you will learn how to use ML to recognize handwritten digits and build GUI App using Tkinter

3. This ML model finds its application in recognizing number plates of vehicles, processing bank cheque amounts, numeric entries in forms filled up by hand etc.

Mentor for this project:

FAQ

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Handwritten Digit Recognition using ML (Deep Learning Approach)

 

Handwritten digit recognition is the classification ability of a computer to detect human handwritten digits from various sources such as photographs, papers, touch screens and classify them among one of the digits from 0-9.

What are the application of handwritten digit recognition?
What is the accuracy in handwritten digit recognition?
Which dataset is used for handwritten digit recognition?
What are the limitations of handwritten digit recognition?
What is future scope of handwritten digit recognition?
Am I eligible for this course?
Who will clarify my doubts?
How can I contact Talent Battle?
What is included in the fee?
Can my friends build along with me?
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