https://github.com/joshua-dias-barreto/mnist-keras-tensorflow-anns

The objective of this project is to identify hand written digits using Artificial Neural Networks.
https://github.com/joshua-dias-barreto/mnist-keras-tensorflow-anns

deep-learning keras machine-learning mnist neural-network tensorflow tensorflow-tutorials

Last synced: 5 days ago
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The objective of this project is to identify hand written digits using Artificial Neural Networks.

• Host: GitHub
• URL: https://github.com/joshua-dias-barreto/mnist-keras-tensorflow-anns
• Owner: Joshua-Dias-Barreto
• Created: 2022-11-01T15:14:02.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-01T15:12:40.000Z (almost 2 years ago)
• Last Synced: 2024-10-10T08:40:51.870Z (29 days ago)
• Topics: deep-learning, keras, machine-learning, mnist, neural-network, tensorflow, tensorflow-tutorials
• Language: Jupyter Notebook
• Homepage:
• Size: 366 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 
**Identify Hand Written Digits using Artificial Neural Networks**

The MNIST ( Modified National Institute of Standards and Technology ) dataset contains 60,000 images of hand-written digits from 0-9.

The objective of this project is to create a deep learning model which can correctly identify hand-written digits from images.

An Artificial Neural Network (ANN) was created using Keras Python API with TensorFlow as the backend to fulfill the objective of this deep learning model.