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Introduction To Neural Networks

A Primer on Neural Networks with introductory examples. Following various statistical regression models, these notes focus on the mathematics behind the various layers and activation functions one can choose when designing a neural network. These notes have been supplemented with many Python Jupyter notebooks, where all examples from the notes have been implemented using the Keras API of TensorFlow2.

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A Primer on Neural Networks with introductory examples and exercises

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