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Neural networks are machine learning models that can automatically learn nonlinear relationships in data.
In this Machine Learning Crash Course video, you’ll learn the building blocks of neural network architectures—nodes, hidden layers, and activation functions—and how they’re used to construct a model that represents nonlinearities.
Learn more about neural networks in Machine Learning Crash Course: https://goo.gle/3WWMyAB
#neural_networks #machine_learning #ml #activation_function #hidden_layer #node #neuron
Speaker: Kat Leung Read More Google for Developers
