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.
JeroenVanGorsel/IntroductionToNeuralNetworks
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