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SqueezeNet is a deep
neural network for
image classification released in 2016.
SqueezeNet was
developed by
researchers at DeepScale,
University of California...
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Convolutional neural network SqueezeNet Mobile
Net You Only Look Once Tan, Mingxing; Le, Quoc V. (2020-09-11), Efficient
Net:
Rethinking Model Scaling for...
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founding of DeepScale, Iandola, Keutzer, and
their collaborators released SqueezeNet,
which is a
small and energy-efficient DNN for
computer vision. By developing...
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reproduce the
performance of Alex
Net at a
lower cost. In this line of
research are
SqueezeNet (2016), Mobile
Net (2017), Efficient
Net (2019).
Geoffrey Hinton,...
-
vision Object detection Convolutional neural network R-CNN
SqueezeNet Mobile
Net Efficient
Net Redmon, Joseph; Divvala, Santosh; Girshick, Ross; Farhadi...
- the model. The
SqueezeNet paper reported that Deep
Compression achieved a
compression ratio of 35 on Alex
Net, and a
ratio of ~10 on
SqueezeNets. Reed, R...
- In
January 2021, a
short squeeze of the
stock of the
American video game
retailer GameStop and
other securities took place,
causing major financial consequences...
-
Squeeze are an
English rock band that came to
prominence in the
United Kingdom during the new wave
period of the late 1970s, and
continued recording in...
- (crowd mix)" (3:47) "Down in the
Valley (jug band version)" (3:08) "Down in the
Valley (instrumental mix)" (4:26)
Squeeze discography at
Squeezenet v t e...
- S2CIDÂ 104291950. Gaikwad,
Akash S.
Pruning convolution neural network (
SqueezeNet) for
efficient hardware deployment. OCLCÂ 1197735354. Cong, Iris; Choi...
