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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size, , , , , и . (2016)cite arxiv:1602.07360Comment: In ICLR Format.Experimental investigation of temperature and relative humidity effects on resonance frequency and quality factor of CMOS-MEMS paddle resonator., , , , , и . Microelectron. Reliab., (2016)FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters., , , и . CVPR, стр. 2592-2600. IEEE Computer Society, (2016)Temperature dependent Young's modulus and quality factor of CMOS-MEMS resonator: Modelling and experimental approach., , , , , и . Microelectron. Reliab., (2016)File Management in a Mobile DHT-based P2P Environment., , и . AINA, стр. 415-422. IEEE Computer Society, (2012)FireCaffe: near-linear acceleration of deep neural network training on compute clusters., , , и . CoRR, (2015)Switching Dynamics of Thin Film Ferroelectric Devices- A Massively Parallel Phase Field Study.. University of California, Berkeley, USA, (2013)Shallow Networks for High-accuracy Road Object-detection., , , , и . VEHITS, стр. 33-40. SciTePress, (2017)Real Time Traffic Incident Detection by Using Twitter Stream Analysis., , , , , , и . IHSED, том 876 из Advances in Intelligent Systems and Computing, стр. 620-626. Springer, (2018)