And the Bit Goes Down: Revisiting the Quantization of Neural Networks.
Pierre StockArmand JoulinRémi GribonvalBenjamin GrahamHervé JégouPublished in: CoRR (2019)
Keyphrases
- neural network
- uniform quantization
- adaptive quantization
- artificial neural networks
- neural nets
- recurrent neural networks
- self organizing maps
- pattern recognition
- back propagation
- quantization error
- successive approximation
- multilayer perceptron
- data sets
- multi layer
- fuzzy systems
- network architecture
- activation function
- entropy coding
- gray code
- genetic algorithm
- image compression
- rule extraction
- competitive learning
- feed forward
- image coding
- subband