Artificial Neuron
Bias
Perceptron
Pre-Activation
Feedforward Network
Forward Pass
Fully Connected Layer
Hidden Layer
Input Layer
Multilayer Perceptron (MLP)
Output Layer
Network Depth
Network Width
Parameter Count
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Stanford CS231n — Neural Networks Part 1: Modeling one neuron, activation functions, architecture Art… 4 terms
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Dive into Deep Learning 5.1 — Multilayer Perceptrons (feedforward architecture and hidden layers) Art… 2 terms
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K
Keras Dense layer — API documentation (output = activation(dot(input, kernel) + bias)) Docs 1 term
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Neural networks: Multi-class classification (softmax output layer) — Google Machine Learning Crash Course Docs 1 term
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Nielsen, Neural Networks and Deep Learning — Ch. 4: A visual proof that neural nets can compute any function Art… 1 term
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