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  1. NirViaje revised this gist Jul 27, 2015. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion DeepLearningHandsOn_Nir.md
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    * Camera Head by Servo
    * Caffe
    * [DQN](https://gist.github.com/NirViaje/7ca109d2e99d0b16ec43#dqn)
    * portable robotics arm //uARM/MDLR2.0
    * portable robotics arm //[uARM](https://www.kickstarter.com/projects/ufactory/uarm-put-a-miniature-industrial-robot-arm-on-your/description), MDLR2.0

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

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    * [Linux For Tegra Archive](https://developer.nvidia.com/embedded/linux-tegra)
    * [How to run the Caffe deep learning vision library on Nvidia’s Jetson mobile GPU board](http://petewarden.com/2014/10/25/how-to-run-the-caffe-deep-learning-vision-library-on-nvidias-jetson-mobile-gpu-board/)

    ##the World's First Makerable Deep Learning Robot
    ##the World's First Makerable Deep Learning Robot, aka MDLR

    integrated with:

    @@ -33,6 +33,7 @@ integrated with:
    * Camera Head by Servo
    * Caffe
    * [DQN](https://gist.github.com/NirViaje/7ca109d2e99d0b16ec43#dqn)
    * portable robotics arm //uARM/MDLR2.0

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

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    * Nvidia [Jetson](https://developer.nvidia.com/get-started-jetson) Embedded Tegra Computing
    * Autonomous Vehicle
    * Camera Head by Servo
    * Caffe
    * [DQN](https://gist.github.com/NirViaje/7ca109d2e99d0b16ec43#dqn)

  4. NirViaje revised this gist Jul 27, 2015. 1 changed file with 1 addition and 2 deletions.
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    * Nvidia [Jetson](https://developer.nvidia.com/get-started-jetson) Embedded Tegra Computing
    * Autonomous Vehicle
    * Caffe
    * DQN
    * https://gist.github.com/NirViaje/7ca109d2e99d0b16ec43#dqn
    * [DQN](https://gist.github.com/NirViaje/7ca109d2e99d0b16ec43#dqn)

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

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    *
    * 深度硬件，运动控制，时间序列，小脑神经网络，Sequential Deep Learning，Deep time series
    * [DQN](https://github.com/deepmind)
    * https://gist.github.com/NirViaje/7ca109d2e99d0b16ec43#dqn
    - Currently state of the art but...([Scyfer, Universiteit van Amsterdam spin off](http://scyfer.nl/wp-content/uploads/2014/06/Neural-Networks-and-Deep-Learning-1.pdf))
    - No way of doing logical inference (extrapolation)
    - No easy integration of abstract knowledge
  6. NirViaje revised this gist Jul 27, 2015. 1 changed file with 1 addition and 0 deletions.
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    * Autonomous Vehicle
    * Caffe
    * DQN
    * https://gist.github.com/NirViaje/7ca109d2e99d0b16ec43#dqn

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

  7. NirViaje revised this gist Jul 27, 2015. 1 changed file with 1 addition and 0 deletions.
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    * 数据接口带宽，存储量
    *
    * 深度硬件，运动控制，时间序列，小脑神经网络，Sequential Deep Learning，Deep time series
    * [DQN](https://github.com/deepmind)
    - Currently state of the art but...([Scyfer, Universiteit van Amsterdam spin off](http://scyfer.nl/wp-content/uploads/2014/06/Neural-Networks-and-Deep-Learning-1.pdf))
    - No way of doing logical inference (extrapolation)
    - No easy integration of abstract knowledge
  8. NirViaje revised this gist Jul 27, 2015. No changes.
  9. NirViaje revised this gist Jul 27, 2015. 1 changed file with 1 addition and 1 deletion.
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    integrated with:

    * Jetson
    * Nvidia [Jetson](https://developer.nvidia.com/get-started-jetson) Embedded Tegra Computing
    * Autonomous Vehicle
    * Caffe
    * DQN
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    * [Linux For Tegra Archive](https://developer.nvidia.com/embedded/linux-tegra)
    * [How to run the Caffe deep learning vision library on Nvidia’s Jetson mobile GPU board](http://petewarden.com/2014/10/25/how-to-run-the-caffe-deep-learning-vision-library-on-nvidias-jetson-mobile-gpu-board/)

    ##the World's First Makerable Deep Learning Robot

    integrated with:

    * Jetson
    * Autonomous Vehicle
    * Caffe
    * DQN

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

    * [qualcomm zeroth](https://www.qualcomm.com/invention/cognitive-technologies/zeroth)
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    * [Torch](http://torch.ch/)

    ##DQN

    * https://github.com/deepmind

    ##@Nvidia.Jetson

    * [Nvidia.Jetson](https://developer.nvidia.com/get-started-jetson)
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    - No way of doing logical inference (extrapolation)
    - No easy integration of abstract knowledge
    - Hypothetic space bias might not conform with realityWhen to apply Deep
    * 看上去一切触手可及对不对？可是我们离真正的人工智能还有多远呢？至少还需要有两三个这样的变革吧 [zhihu](http://www.zhihu.com/question/31430100/answer/51997378)

    ##News

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    ##@Nvidia.Jetson

    * [Linux For Tegra Archive](https://developer.nvidia.com/embedded/linux-tegra)
    * [Nvidia.Jetson](https://developer.nvidia.com/get-started-jetson)
    * [Linux For Tegra Archive](https://developer.nvidia.com/embedded/linux-tegra)
    * [How to run the Caffe deep learning vision library on Nvidia’s Jetson mobile GPU board](http://petewarden.com/2014/10/25/how-to-run-the-caffe-deep-learning-vision-library-on-nvidias-jetson-mobile-gpu-board/)

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture
  14. NirViaje revised this gist Jul 27, 2015. 1 changed file with 1 addition and 1 deletion.
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    ###Open Problems

    Several problem to address
    Several problems to address

    * 以下问题相互递进
    * 如何主动发现问题解决问题
  15. NirViaje revised this gist Jul 27, 2015. 1 changed file with 1 addition and 1 deletion.
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    * 数据接口带宽，存储量
    *
    * 深度硬件，运动控制，时间序列，小脑神经网络，Sequential Deep Learning，Deep time series
    - Currently state of the art but...([Scyfer, Universiteit van Amsterdam spin off]http://scyfer.nl/wp-content/uploads/2014/06/Neural-Networks-and-Deep-Learning-1.pdf))
    - Currently state of the art but...([Scyfer, Universiteit van Amsterdam spin off](http://scyfer.nl/wp-content/uploads/2014/06/Neural-Networks-and-Deep-Learning-1.pdf))
    - No way of doing logical inference (extrapolation)
    - No easy integration of abstract knowledge
    - Hypothetic space bias might not conform with realityWhen to apply Deep
  16. NirViaje revised this gist Jul 27, 2015. 1 changed file with 4 additions and 1 deletion.
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    * 数据接口带宽，存储量
    *
    * 深度硬件，运动控制，时间序列，小脑神经网络，Sequential Deep Learning，Deep time series
    *
    - Currently state of the art but...([Scyfer, Universiteit van Amsterdam spin off]http://scyfer.nl/wp-content/uploads/2014/06/Neural-Networks-and-Deep-Learning-1.pdf))
    - No way of doing logical inference (extrapolation)
    - No easy integration of abstract knowledge
    - Hypothetic space bias might not conform with realityWhen to apply Deep

    ##News

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    * 深度神经网络的数据通量
    * 数据接口带宽，存储量
    *
    * 深度硬件，运动控制，时间序列，小脑神经网络，Sequential Deep Learning
    * 深度硬件，运动控制，时间序列，小脑神经网络，Sequential Deep Learning，Deep time series
    *

    ##News
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    * 深度神经网络的数据通量
    * 数据接口带宽，存储量
    *
    * 深度硬件，运动控制，时间序列，小脑神经网络
    * 深度硬件，运动控制，时间序列，小脑神经网络，Sequential Deep Learning
    *

    ##News

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    * https://www.indiegogo.com/projects/braincard-pattern-recognition-for-all#/story
    * http://neuromorthings.com/#about

    ###Several problem to address
    ###Open Problems

    Several problem to address

    * 以下问题相互递进
    * 如何主动发现问题解决问题
    @@ -40,6 +42,7 @@
    * 深度神经网络的数据通量
    * 数据接口带宽，存储量
    *
    * 深度硬件，运动控制，时间序列，小脑神经网络

    ##News

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    * 如何使用先验知识，将先验知识转移进网络中
    * 已训练的网络训练新知的过程怎样变迁
    * 深度神经网络的数据通量
    * 数据接口带宽，存储量
    * 数据接口带宽，存储量
    *

    ##News

    * [New ‘deep learning’ technique enables robot mastery of skills via trial and error](http://news.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/), UC Berkeley
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    ##Deep Network Workbench

    ##Caffe
    ###Caffe

    * [Caffe: a fast open framework for deep learning](https://github.com/BVLC/caffe)
    * [DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe](https://github.com/BVLC/caffe-tutorial/blob/master/index.md)
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    ##Deep Network Workbench

    ##Caffe

    * [Caffe: a fast open framework for deep learning](https://github.com/BVLC/caffe)
    * [DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe](https://github.com/BVLC/caffe-tutorial/blob/master/index.md)
    * [Caffe Model Zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)
    @@ -8,6 +10,10 @@
    * [深度学习caffe的代码怎么读？](http://www.zhihu.com/question/27982282)
    *

    ###Torch, etc

    * [Torch](http://torch.ch/)

    ##@Nvidia.Jetson

    * [Linux For Tegra Archive](https://developer.nvidia.com/embedded/linux-tegra)
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    * [深度学习caffe的代码怎么读？](http://www.zhihu.com/question/27982282)
    *

    ##
    ##@Nvidia.Jetson

    * [Linux For Tegra Archive](https://developer.nvidia.com/embedded/linux-tegra)
    * [Nvidia.Jetson](https://developer.nvidia.com/get-started-jetson)
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    * [Caffe: a fast open framework for deep learning](https://github.com/BVLC/caffe)
    * [DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe](https://github.com/BVLC/caffe-tutorial/blob/master/index.md)
    * [Caffe Model Zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)
    * [DeepNetworks by C++](http://blog.csdn.net/linger2012liu/article/category/2146595) //我所写的CNN框架 VS caffe - linger
    * [Caffe Hands on Notes](https://yufeigan.github.io/)
    * [深度学习caffe的代码怎么读？](http://www.zhihu.com/question/27982282)
    *

    ##

    * [Linux For Tegra Archive](https://developer.nvidia.com/embedded/linux-tegra)
    * [Nvidia.Jetson](https://developer.nvidia.com/get-started-jetson)
    * [How to run the Caffe deep learning vision library on Nvidia’s Jetson mobile GPU board](http://petewarden.com/2014/10/25/how-to-run-the-caffe-deep-learning-vision-library-on-nvidias-jetson-mobile-gpu-board/)

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

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    * [qualcomm zeroth](https://www.qualcomm.com/invention/cognitive-technologies/zeroth)
    * https://www.qualcomm.com/invention/cognitive-technologies
    * [体系结构研究者眼中的神经网络硬件](http://www.weibo.com/p/1001603864434543068361)
    * [体系结构研究者眼中的神经网络硬件](http://mp.weixin.qq.com/s?__biz=MzA4MjE5NjAzMg==&mid=208687334&idx=1&sn=b6f6cfd24d484c835738a6cbb8376f76&scene=1&from=singlemessage&isappinstalled=0#rd)
    * [计算所的DianNao和DaDianNao为什么能连续斩获ASPLOS'14和MICRO'14的Best Paper？](http://www.zhihu.com/question/29269842/answer/55912804)
    * CM1K
    * http://techcrunch.com/2015/01/31/the-ongoing-quest-for-the-brain-chip/
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    * [Caffe: a fast open framework for deep learning](https://github.com/BVLC/caffe)
    * [DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe](https://github.com/BVLC/caffe-tutorial/blob/master/index.md)
    *
    * [Caffe Model Zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

  27. NirViaje revised this gist Jul 24, 2015. 1 changed file with 23 additions and 1 deletion.
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    ##Deep Network Workbench

    * [Caffe: a fast open framework for deep learning](https://github.com/BVLC/caffe)
    * [DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe](https://github.com/BVLC/caffe-tutorial/blob/master/index.md)
    * [DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe](https://github.com/BVLC/caffe-tutorial/blob/master/index.md)
    *

    ##Neuromorphic Processing: A New Frontier in Scaling Computer Architecture

    * [qualcomm zeroth](https://www.qualcomm.com/invention/cognitive-technologies/zeroth)
    * https://www.qualcomm.com/invention/cognitive-technologies
    * [体系结构研究者眼中的神经网络硬件](http://www.weibo.com/p/1001603864434543068361)
    * [计算所的DianNao和DaDianNao为什么能连续斩获ASPLOS'14和MICRO'14的Best Paper？](http://www.zhihu.com/question/29269842/answer/55912804)
    * CM1K
    * http://techcrunch.com/2015/01/31/the-ongoing-quest-for-the-brain-chip/
    * https://www.indiegogo.com/projects/braincard-pattern-recognition-for-all#/story
    * http://neuromorthings.com/#about

    ###Several problem to address

    * 以下问题相互递进
    * 如何主动发现问题解决问题
    * 如何使用先验知识，将先验知识转移进网络中
    * 已训练的网络训练新知的过程怎样变迁
    * 深度神经网络的数据通量
    * 数据接口带宽，存储量
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    * [Caffe: a fast open framework for deep learning](https://github.com/BVLC/caffe)
    * [DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe](https://github.com/BVLC/caffe-tutorial/blob/master/index.md)