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Learning TensorFlow enables you to create sophisticated neuralnetworks for tasks like image recognition, naturallanguageprocessing, and predictive analytics. It covers various aspects, from using larger datasets to preventing overfitting and moving beyond binary classification.
This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph NeuralNetworks and their applications. Through the next series of this post here , I will try to make an implementation of Graph ConvolutionalNeuralNetwork. So, let’s get started! What are Graphs?
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