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Caffe in a Day Tutorial.pptx
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2017-08-17
01:20:51
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Caffe Documentation https://docs.google.com/presentation/d/1HxGdeq8MPktHaPb-rlmYYQ723iWzq9ur6Gjo71YiG0Y/edit#slide=id.gc2fcdcce7_216_0
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The Highest Bandwidth Input Channel
2
Machines are useful mainly to the extent that they interact with the physical
world
Visual information is the richest source of information about the real world
Vision is the highest-bandwidth mode for machines to obtain real-world info
Embedded vision enables our things to be:
-
More responsive
-
More personal and secure
-
Safer, more autonomous
-
Easier to use
subaru.com
Part 2 (Afternoon)
Hands-On Introduction to the
Caffe Framework:
Brewing Networks with Caffe
Tutorial Organization
Part 1 (Morning)
Introduction to Deep Learning
and Convolutional Networks:
A Theoretical and Practical
Discussion
3
4
Why Deep Learning?
Applications
The Challenge
of Recognition
Learning &
Optimization
Network Tour Transfer Learning
Part 1: Deep Learning for Vision
Embedded Vision Alliance Tutorial – © Shelhamer, Donahue, Long
Dive into
Deep Learning
What is DL?
Why Now?
Caffe First Sip
Why Deep Learning?
End-to-End Learning for Many Tasks
vision speech
text
control
5
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资源评论
- yswilliam2018-01-09讲的神经网络的基础原理以及最新的神经网络结构及应用。
- 花折泪2018-08-17很好的资源
- themillions2018-06-30使用caffe的基础,神经网络的基础原理以及最新的神经网络结构,值得一读
- Photon-AI2022-11-07很不错啊,可以对
堂堂正正做猪
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