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Basic image classification on the MNIST dataset using tensorflow, keras and neural networks.

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Convolutional Neural Network for Image Classification

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Naim Moltrasio

Overview

This repository shows step by step, the process of building a Convolutional Neural Network for Image Classification in Python using the TensorFlow framework and keras.

In this example we use the MNIST dataset.

Dependencies

  • matplotlib
  • tensorflow
  • keras

You can install missing dependencies with pip. And install TensorFlow via TensorFlow link.

Usage

  1. Install the dependencies;
  2. Run main.py

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License

Code released under the CC0 license.

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Basic image classification on the MNIST dataset using tensorflow, keras and neural networks.

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