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10 cards from this deck
They are inspired by biological neural networks in brains.
The basic units are called neurons.
Weights determine the strength of connections between neurons.
They apply non-linear transformations to inputs.
It's a network where information flows one direction only.
CNNs specialize in processing grid-like data, like images.
LSTM captures long-term dependencies in sequential data.
It's the learning process involving forward and backward passes.
XOR is not linearly separable, needing hidden layers.
Neurons transmit signals throughout the body.
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