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  • readlist

    Why ML interfaces will be more like pets than machines https://petewarden.com/2018/05/07/why-ml-interfaces-will-be-more-like-pets-than-machines/
    Deep Learning is Eating Software  https://petewarden.com/2017/11/13/deep-learning-is-eating-software/
    What are GPUs, anyway?  https://petewarden.com/2016/05/17/what-are-gpus-anyway/
    Why Low-Power NN Accelerators Matter      https://petewarden.com/2018/02/26/why-low-power-nn-accelerators-matter/
    How many images do you need to train a neural network? https://petewarden.com/2017/12/14/how-many-images-do-you-need-to-train-a-neural-network/
    How do CNNs Deal with Position Differences?     https://petewarden.com/2017/10/29/how-do-cnns-deal-with-position-differences/
    What I’ve learned about neural network quantization https://petewarden.com/2017/06/22/what-ive-learned-about-neural-network-quantization/
    How to Quantize Neural Networks with TensorFlow    https://petewarden.com/2016/05/03/how-to-quantize-neural-networks-with-tensorflow/
    Why GEMM is at the heart of deep learning https://petewarden.com/2015/04/20/why-gemm-is-at-the-heart-of-deep-learning/
    An Engineer’s Guide to GEMM https://petewarden.com/2015/10/25/an-engineers-guide-to-gemm/
       
    Deep Learning for Computer Vision with Caffe and cuDNN https://devblogs.nvidia.com/deep-learning-computer-vision-caffe-cudnn/                                
       
       
       
       
       
       
       
       
       

    DeepFace closing the gap to human level performance

     
       
       
       
       
       
       
       
       
       
    CS231n Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/
       
       
       
       
       
       
       
       
       
    基于深度学习的目标检测技术演进:R-CNN、Fast R-CNN、Faster R-CNN https://www.cnblogs.com/skyfsm/p/6806246.html
       
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  • 原文地址:https://www.cnblogs.com/wordchao/p/9071718.html
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