Convolutional Neural Networks

SqueezeNet is a convolutional neural network that employs design strategies to reduce the number of parameters, notably with the use of fire modules that "squeeze" parameters using 1x1 convolutions.

Source: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

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