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