The microcanonical entropy of the XOR network's loss landscape peaks at discrete loss values, and these entropic barriers vanish when more hidden neurons are added.
Lecture Notes: Neural Network Architectures
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These lecture notes provide an overview of Neural Network architectures from a mathematical point of view. Especially, Machine Learning with Neural Networks is seen as an optimization problem. Covered are an introduction to Neural Networks and the following architectures: Feedforward Neural Network, Convolutional Neural Network, ResNet, and Recurrent Neural Network.
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Dissecting a Small Artificial Neural Network
The microcanonical entropy of the XOR network's loss landscape peaks at discrete loss values, and these entropic barriers vanish when more hidden neurons are added.