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  1. The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

    2.7k 442

  2. [UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。

    283 99

  3. 李航《统计学习方法》笔记和 Python 实现(不基于任何代数运算库)。

    Python 55 21

  4. Convert Darknet model to Caffe's

    Python 43 22

  5. 嵌入式AI公众号: NeuralTalk,Weekly report and awesome list of embedded-ai.

    276 68

  6. Learn OpenCL step by step.

    C 37 17

1,036 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

May 2020

Created an issue in yuenshome/yuenshome.github.io that received 6 comments

mace对模型在opencl上的调优策略

导读:MACE是小米的端测深度学习推理框架,支持arm cpu、adreno gpu、mali gpu,比较有特色的是gpu(opencl)和对高通dsp方面的支持。最近发布了release v0.13.0版,跟进tflite,也低调地支持了tinyML,下面来自release的一段节选。 M…

6 comments

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