AI
non-linearity
the kink that stops layers collapsing into one
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What a Neural Network IsAIMore terms from this board
- activation functionthe non-linearity (ReLU / sigmoid / tanh)
- biasa learned offset
- deep learningmany hidden layers
- featurea learned intermediate representation (edges, words)
- forward passcompute output from input
- fully-connected (dense)every neuron wired to the next layer
- layera row of neurons
- matrix multiplya layer's core op (→ GPUs)
- MLPmulti-layer perceptron
- neuronweighted sum of inputs + bias, through an activation
- parametersall weights + biases (LLMs: billions)
- ReLUmax(0,x)
- trainingfinding the weights
- universal approximationenough neurons can fit any function
- weighta learned knob (input importance)