Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications.
Yong-Deok KimEunhyeok ParkSungjoo YooTaelim ChoiLu YangDongjun ShinPublished in: ICLR (Poster) (2016)
Keyphrases
- low power
- mobile applications
- convolutional neural networks
- power consumption
- high speed
- low cost
- mobile devices
- mobile phone
- convolutional network
- mobile users
- context aware
- smart phones
- compression algorithm
- user experience
- low power consumption
- image compression
- single chip
- logic circuits
- compression ratio
- vlsi architecture
- power reduction
- vlsi circuits
- real time
- digital signal processing
- cmos technology
- location based services
- end users
- wireless devices
- mixed signal
- gate array
- image sensor
- power dissipation
- mobile apps