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Google-Landmarks

Main Goal : With a given image as a request, the machine will return as a response the N most similar pictures out of.

Programming Language : Python 3.6

Environment : Jupyter Notebook

Libraries and Packages : tensorflow, numpy, matplotlib.pyplot, pickle, tensorflow.keras.models => Sequential, tensorflow.keras.layers => Dense, Dropout, Activation, Flatten, Conv2D, MaxPooling2D

To open the project, you need to run "Google-Landmarks.ipynb" file in Jupyter Notebook environment.

Search words : Image recognition, Machine learning neural network layers, KNN