The most famous practical example of learning the very basics of CNN and Deep learning.
This Python program is divided into 3 parts as follows,
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learning how to preprocess the image data and converting them to feature vectors.
1.a. saving the preprocesseed data using pickel. -
training the neural network(CNN) with those Features.
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preprocessing the testing dataset and predicting with the trained network.
3.a. exporting a .csv file of predictions