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[Python] Exploring machine learning and convolutional neural networks by building an image classifier using a rock-paper-scissors dataset.

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Machine Learning Introduction (Theory & Practice)

Description

A brief introduction to the practical framework and theoretical background of building a convolutional neural network using TensorFlow resources as a guide. The project's objective is to get familiar with the main machine learning Python libraries to create an image classifier trained and tested on a rock-paper-scissors image dataset.

Libraries Used:

  • requests
  • os
  • zipfile
  • numpy
  • matplotlib.pyplot
  • matplotlib.image
  • tensorflow
  • keras_preprocessing.image
  • keras_preprocessing.image.ImageDataGenerator

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[Python] Exploring machine learning and convolutional neural networks by building an image classifier using a rock-paper-scissors dataset.

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