Theano implementation of LSTM and CTC to recognize simple english sentence image
https://github.com/aaron-xichen/cnn-lstm-ctc
https://github.com/Ewenwan/cnn-lstm-ctc
https://github.com/PWN0N/SLAM/blob/master/Speech/readme.md
科大讯飞 TTS
https://github.com/Ewenwan/Ros/blob/master/src/voice_system/src/xf_tts.cpp
https://github.com/naxingyu/opensmile
https://github.com/apache/mahout
https://github.com/NVIDIA/NeMo
基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化
https://github.com/EssayKillerBrain/EssayKiller_V2
https://github.com/MingchaoZhu/DeepLearning
机器学习精讲 全彩印刷 机器学习原理算法与应用教程 一本精简机器学习入门手册 美亚机器学习深度学习畅销书
https://github.com/search?q=knn+speech
https://github.com/kkiani/animal-voice-recognition
https://github.com/nfmcclure/tensorflow_cookbook
TensorFlow机器学习实战指南 原书第2版
https://github.com/search?q=TensorFlow机器学习实战指南
https://github.com/Asurada2015/TF_Cookbook
search baidupan, 机器学习经典算法实践
https://www.epubit.com/search?txt=深度学习
https://github.com/chenzomi12/DeepLearning-In-Action/blob/master/chapter8/audio_FeatureExtraction.py
https://github.com/uTensor/uTensor
https://github.com/ARMmbed/utensor-mnist-demo
https://www.jianshu.com/p/2b031a7fd2e6
https://github.com/TMRh20/TMRpcm
https://www.instructables.com/Make-Your-Own-Spy-Bug-Arduino-Voice-Recorder/
https://www.adafruit.com/product/1713
GND<->GND
V+<->VCC(3V3 or 5V)
GAIN<->NC
OUT<->A0
AR<->NC
(in pcmConfig.h, uncomment:)
#define buffSize 128. May need to increase.
#define ENABLE_RECORDING
#define BLOCK_COUNT 10000UL
https://github.com/donwardpeng/arduino_microspeech/tree/master/lib/ArduinoSound
- ArduinoSound
https://www.arduino.cc/en/Reference/ArduinoSound
This library provides simple way to play and analyze audio data using Arduino on SAMD21 based boards
(i.e Arduino or Genuino Zero, MKRZero or MKR1000 Board) using the I2S bus.
ICS43432I2S
https://www.arduino.cc/en/Tutorial/ArduinoSoundAmplitudeSerialPlotter
MKR ZERO (I2S BUS & SD FOR SOUND, MUSIC & DIGITAL AUDIO DATA)
https://store.arduino.cc/usa/arduino-mkrzero
MKR 1000 (Zero plus the Wi-Fi)
https://store.arduino.cc/usa/arduino-mkr1000
MAX08357I2S
https://www.arduino.cc/en/Tutorial/ArduinoSoundWavePlayback - Arduino Esplora Microphone
https://www.arduino.cc/en/Tutorial/LibraryExamples/EsploraSoundSensor - Analog Sound Sensor, DFR0034, dfrobot
https://blog.csdn.net/md521/article/details/78038012
https://wiki.dfrobot.com/Analog_Sound_Sensor_SKU__DFR0034
http://wiki.banana-pi.org/BPI-EAI80_AIoT_开发板
https://github.com/BPI-SINOVOIP/BPI-EAI80-bsp/blob/master/KelisSDK/ugelis/kelis_example/ai_example/ai/src/app/speechai/speech_recognize.c
https://github.com/waynelinbo/ARC---Sport-at-home
https://blog.csdn.net/iotisan/article/details/53798704
https://github.com/accraze/keyword-spotter
https://rapidapi.com/accraze/api/keyword-spotter
https://github.com/search?q=SAMPLES_TO_CONSIDER+tensorflow&type=code
(dataset) https://github.com/osamaxsyed/speechRecognition
https://github.com/iamlekh/Speech-Recognition
https://github.com/musikalkemist/Deep-Learning-Audio-Application-From-Design-to-Deployment
Speech Commands Dataset:数千名讲话者说出的简短命令
https://blog.csdn.net/rubyboss/article/details/81083568
(may be ok)
xubuntu200464
Python==2.7.18rc1
tensorflow==1.5.0
tensorflow-tensorboard==1.5.1
pip==20.1.1
https://nvidia.github.io/OpenSeq2Seq/html/speech-recognition.html
https://nvidia.github.io/OpenSeq2Seq/html/speech-commands.html
https://ai.googleblog.com/2017/08/launching-speech-commands-dataset.html
http://cs229.stanford.edu/proj2019aut/data/assignment_308875_raw/26500748.pdf
https://arxiv.org/pdf/1804.03209.pdf
翻译
http://www.ijiandao.com/2b/baijia/67523.html
https://github.com/weimingtom/wmt_ai_study/blob/master/launching-speech-commands-dataset.txt
https://github.com/tensorflow/tensorflow/tree/r1.4/tensorflow/examples/speech_commands
https://www.ctolib.com/amp/JRMeyer-open-speech-corpora.html
https://github.com/JRMeyer/open-speech-corpora
https://zerospeech.com
http://www.nwpu-aslp.org/newsContent/news20171225.html
Zerospeech Challenge(零资源挑战赛)是语音研究领域的一项重要的国际学术测评。
该测评旨在缺少语言专家知识的前提下,探寻从语音数据中自动学得语言学结构信息的方法。
据悉,在零资源(zero resource)或少资源(low resource)的情境下,
采用无监督、弱监督方法进行数据建模已经成为机器学习和语音研究的热点问题
https://zerospeech.com/2019/getting_started.html
https://github.com/weimingtom/wmt_ai_study/blob/master/mbed_001.txt
https://github.com/ARM-software/ML-KWS-for-MCU/tree/master/Deployment
https://os.mbed.com/users/mbed_official/code/mbed/
https://os.mbed.com/users/mbed_official/code/mbed-sdk-tools/
https://github.com/Sleepwalking/ciglet
https://github.com/luomingshuang/speaker_recognition_pytorch_v0
https://www.cnblogs.com/zy230530/p/13657717.html
https://os.mbed.com/search/repository?q=microphone
https://os.mbed.com/search/repository?q=i2s
https://os.mbed.com/teams/ST/code/ST_I2S/
https://blog.csdn.net/weixin_37598106/article/details/107105068
https://github.com/Lebhoryi/Edge_AI
孤立词语音识别,复旦大学计算机科学技术学院数字信号处理期末项目
https://github.com/ichn-hu/Speech-Recognition-Via-CNN
https://github.com/ensky16/STM32H743BaiduSpeech
https://github.com/PhilippvK/stm32-tflm-micro-speech
https://github.com/iwaterxt/voiceprint
(IMP???) C++
ivector
xvector
dnn-ivector
tdvector
https://github.com/uTensor/tflm
https://os.mbed.com/users/rayxke/notebook/sparkfun-mems-microphone-breakout---inmp401-admp40/
https://github.com/sparkfun/MEMS_Mic_Breakout-ADMP401/blob/V_1.3/Firmware/SparkFun_ADMP401_Simple_Sketch/SparkFun_INMP401.ino
https://www.mydigit.cn/forum.php?mod=viewthread&tid=129060
https://blog.csdn.net/sun6gm/article/details/19758967
https://github.com/sebastiancarlsson/fusion-totem/blob/master/master/master.ino
https://os.mbed.com/components/?q=microphone
https://os.mbed.com/components/Electret-Microphone-Amplifier-MAX9814/
https://os.mbed.com/users/andcor02/code/MAX9814_LED_Sound_Indicator/
https://os.mbed.com/components/Adafruit-MEMS-Microphone-Breakout-SPW243/
https://os.mbed.com/users/andcor02/code/MAX9814_Electret_Microphone_LED_Volume_I/#49d2ee7cb020
https://diyi0t.com/i2s-sound-tutorial-for-esp32/
https://blog.tensorflow.org/2020/08/announcing-tensorflow-lite-micro-esp32.html
https://github.com/espressif/tensorflow/tree/master/tensorflow/lite/micro/examples/micro_speech#deploy-to-esp32
https://github.com/espressif/tensorflow/blob/master/tensorflow/lite/micro/examples/micro_speech/esp/audio_provider.cc
https://community.arm.com/developer/tools-software/tools/b/tools-software-ides-blog/posts/port-tensorflow-lite-for-cortex-m55
https://github.com/ARM-software/Tool-Solutions/blob/master/docker/tensorflow-lite-micro-models/build_tflite_micro_test.sh
如何将Arm Cortex-M55处理器与开源CMSIS库一起使用
https://aijishu.com/a/1060000000099377
移植TFLite-micro应用程序到Arm Cortex-M55处理器
https://zhuanlan.zhihu.com/p/268162039
https://www.nxp.com.cn/design/development-boards/i-mx-evaluation-and-development-boards/i-mx-rt1050-evaluation-kit:MIMXRT1050-EVK
Tensorflow Lite Micro (???) (only for IAR ???)
https://github.com/diegohdorta/pyeiq
恩智浦推出1美元i.MX RT1010 eIQ环境让MCU实现AI功能
http://www.cncms.com.cn/ai/20190710/07106541.html
https://www.nxp.com/design/software/development-software/eiq-ml-development-environment:EIQ
eIQ for TensorFlow Lite
https://www.nxp.com/design/software/development-software/eiq-ml-development-environment/eiq-for-tensorflow-lite:eIQTensorFlowLite
https://github.com/PacktPublishing/TensorFlow-Machine-Learning-Projects
TensorFlow机器学习项目开发实战, 清华大学出版社
第5章, 使用NLP进行从语音到文本的转换和主题的提取
(1)三个模块:特征提取(特征向量),DNN(深度神经网络,特征向量输入帧每个单词生成Softmax概率),
后处理(帧级后验分数,posterior score)
(2)特征提取中,使用GMM做活动检测器(VAD)。
(3)DNN中,有五种网络可选,默认使用conv,完全连接的卷积层(CNN)
(4)训练中,不断打印step(步数)、rate(学习率,最初0.001)、accuracy和cross entropy(交叉熵损失)。
最终Step达到18000(几个小时后),rate降低到0.0001,accuracy达到88.5%。每隔100步保存一次模型,
便于随时中断,然后从最新保存的checkpoint(检查点)重新启动训练。
https://github.com/ARMmbed/TensorFlow_MIMXRT1064-EVK_Microspeech
__ICCARM__, __REV
https://github.com/datawhalechina/key-book
CNN-BiRNN-Attention, CTC, LSTM
TensorFlow入门教程(20)语音识别固化模型和应用
https://blog.csdn.net/rookie_wei/article/details/89721441
BIRNN语言识别中遇到的坑
https://blog.csdn.net/qq_29678299/article/details/89755422
[TensorFlow深度学习入门]实战十一·用双向BiRNN(LSTM)做手写数字识别准确率99%+
https://xiaosongshine.blog.csdn.net/article/details/84954385
https://www.aianaconda.com/index/CodeOne
https://github.com/search?l=Python&p=100&q=batch_cost+sess+run&type=Code
https://blog.csdn.net/qq_29678299/article/details/89755422
(IMP???) BiRNN 语音识别
https://github.com/KFUA/TensorflowCode
https://github.com/KFUA/TensorflowCode/blob/master/9-23%20%20yuyinchall.py
search baidupan, 17.speech_recognition.zip
TensorFlow入门教程(17)语音识别(上)
https://blog.csdn.net/rookie_wei/article/details/84527839
TensorFlow入门教程(18)语音识别(中)
https://blog.csdn.net/rookie_wei/article/details/84618774
TensorFlow入门教程(19)语音识别(下)
https://blog.csdn.net/rookie_wei/article/details/84640258
search baidupan, 20.speech_recognition_app.zip
TensorFlow入门教程(20)语音识别固化模型和应用
https://blog.csdn.net/rookie_wei/article/details/89721441
https://github.com/QingChuanWS/TensorflowLiteMicro
raspi4-tfliteMicro, RT-Thread, rpi4
https://github.com/QingChuanWS/raspi4-tfliteMicro
基于PyTorch的深度学习, 第6章,声音之旅
https://github.com/falloutdurham/beginners-pytorch-deep-learning/blob/master/chapter6/Chapter%206.ipynb
https://github.com/falloutdurham/pytorchupandrunning/blob/master/chapter6/Chapter%206.ipynb
https://github.com/karolpiczak/ESC-50
https://zhuanlan.zhihu.com/p/72896282
Project-Quantum, 超迷你模块化卡片电脑计划, 量子计划, seeedstudio
https://github.com/peng-zhihui/Project-Quantum
https://github.com/liukai-tech/Project-Quantum
https://github.com/emlearn/emlearn
https://github.com/emlearn/emlearn/blob/master/emlearn/eml_audio.h
https://github.com/emlearn/emlearn/blob/audio-example/emlearn.ino
https://github.com/jonnor/embeddedml
TensorFlow Speech Recognition Challenge
https://www.kaggle.com/c/tensorflow-speech-recognition-challenge/data
https://zhuanlan.zhihu.com/p/64977527
https://www.sohu.com/a/130212699_292853
https://github.com/matrix-io/matrixio_hal_esp32
https://github.com/Romkabouter/Matrix-Voice-ESP32-MQTT-Audio-Streamer
https://matrix-io.github.io/matrix-documentation/
https://github.com/matrix-io/matrixio_hal_esp32/tree/master/examples
https://github.com/gitroberto92/embes
https://github.com/topics/speech-to-text
https://lazyfoo.net/tutorials/SDL/34_audio_recording/index.php
https://stackoverflow.com/questions/52121428/sdl-openaudiodevice-with-multiple-devices
https://github.com/search?q=SDL_OpenAudioDevice+speech&type=code
(IMP???) https://github.com/s-r-north/KIFT/blob/4e03263a87bf4a65f0d3c1ec4f614493489f2bda/src/client/client.c
how to use pocketsphinx ???
https://www.ituring.com.cn/book/2679
《Python自然语言处理实战》链接表
https://www.ituring.com.cn/article/510382
Hands-On Natural Language Processing with Python
https://www.packtpub.com/free-ebook/hands-on-natural-language-processing-with-python/9781789139495
(IMP) 第11章, 使用DeepSpeech进行语音识别
https://github.com/PacktPublishing/Hands-On-Natural-Language-Processing-with-Python/blob/master/Chapter11/01_example.ipynb
search baidupan, Python自然语言处理实战
Jakobovski的免费数字音频数据集
https://github.com/Jakobovski/free-spoken-digit-dataset/
librosa
https://github.com/librosa/librosa
DeepSpeech模型原始论文
https://arxiv.org/abs/1412.5567
语言数据协会语音录音下载
https://www.kaggle.com/nltkdata/timitcorpus
DeepSpeech在大型数据集上的实现
https://github.com/mozilla/DeepSpeech
Listen, Attend, and Spell: A Neural Network for Large Vocabulary Conversational Speech Recognition
https://a.google/research/pubs/pub44926
DeepSpeech模型的PyTorch实现
(dead link) https://github.com/XenderLiu/ListenAttend-and-Spell-Pytorch
https://github.com/liuchenbaidu/Listen-Attend-and-Spell-Pytorch
https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch
ResNet
https://www.cnblogs.com/jins-note/p/9897191.html
Sample code for reading audio samples from the ESP32 ADC using I2S
https://github.com/atomic14/esp32_audio
https://github.com/nxp-nanoai/nanoai
- https://github.com/BVLC/caffe
Caffe - https://github.com/protocolbuffers/protobuf
Protobuffer - https://github.com/Tencent/ncnn
NCNN - https://github.com/onnx/onnx
ONNX - https://github.com/alibaba/MNN
https://www.mnn.zone
MNN - https://arm-software.github.io/CMSIS_5/NN/html/index.html
CMSIS NN - https://opencv.org/
Open CV - https://github.com/Tencent/TNN
TNN - https://github.com/PaddlePaddle/Paddle-Lite
PL - https://github.com/XiaoMi/mace
mace - https://gitee.com/OAL/Tengine/tree/tengine-lite
tengine-lite - https://github.com/PaddlePaddle/Anakin
Anakin - https://gitee.com/mindspore/mindspore
https://www.mindspore.cn/tutorial/training/zh-CN/master/index.html
MindSpore
https://www.mindspore.cn/tutorial/lite/zh-CN/r1.0/index.html
MindSpore Lite - https://gitee.com/explore/machine-learning
etc - http://www.openailab.com
Open AI Lab
http://www.openailab.com/int/ability/list2.html
Tengine
https://mp.weixin.qq.com/s/CzqmyCeNiWcseHZlSOMRQg
精于型 悍于心!Tengine-Lite以开源致敬AIoT
https://github.com/OAID/Tengine/tree/tengine-lite
Tengine-Lite GitHub开源链接
http://www.openailab.com/int/solution/4.html
超低功耗IoT语音解决方案
穿戴设备语音解决方案功耗<3mW
智能家居设备语音解决方案功耗<10mW
可在M4F流畅运行双麦前端拾音、唤醒词/命令词算法
可在M0流畅运行唤醒词/命令词算法
支持业内主流芯片Cortex-A、Cortex-M、RISC-V、HiFi3/4、CEVA等异构平台
支持FreeRTOS、RT-Thread、Linux、Android等多种操作系统 - https://github.com/pytorch/QNNPACK
QNNPACK - https://github.com/pytorch/pytorch/tree/master/android
https://pytorch.org/mobile/android/
https://github.com/pytorch/android-demo-app
https://github.com/pytorch/android-demo-app/tree/master/PyTorchDemoApp
PyTorch Mobile - https://github.com/google/XNNPACK
XNNPACK
DIY Alexa With the ESP32 and Wit.AI
https://github.com/atomic14/diy-alexa
Atomic14 Builds a "DIY Alexa" with an ESP32, TensorFlow Lite, and Facebook's Wit.ai Service
https://www.hackster.io/news/atomic14-builds-a-diy-alexa-with-an-esp32-tensorflow-lite-and-facebook-s-wit-ai-service-422dc8c30fb1
https://www.bilibili.com/video/av927675797
architecture-free neural network library for node.js and the browser
https://github.com/cazala/synaptic
Tiny-RNN
https://github.com/peterrudenko/tiny-rnn
https://github.com/microhu/HDNNLib
https://github.com/hyperconnect/TC-ResNet/
https://blog.csdn.net/weixin_37598106/article/details/105518851
maze, KWS
https://github.com/XiaoMi/mace/blob/master/micro/pretrained_models/tensorflow/README.md
https://github.com/castorini/honk
https://github.com/castorini/honk-models
https://github.com/castorini/kws-gen-data
(IMP???) js网页版关键词语音识别
https://castorini.github.io/honkling/view/home.html
https://github.com/mingri-lt/KeyWordSpotting02_lt
https://github.com/iceychris/LibreASR
LibreASR using the ESP32_LyraT as a Client
https://github.com/iceychris/LibreASR/tree/master/apps/esp32
http://www.festvox.org/flite/
esp32-flite
https://github.com/alkhimey/esp32-flite
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
https://github.com/PyTorchLightning/pytorch-lightning
https://baijiahao.baidu.com/s?id=1651402421807295182&wfr=spider&for=pc
Bert
https://github.com/google-research/bert
Xlnet
https://github.com/zihangdai/xlnet
ERINE(???)
https://github.com/TsinghuaAI/CPM-Generate
https://github.com/OAID/cortex-m-kws
https://github.com/OAID/Tengine/tree/tengine-lite
volute(蜗壳)是一个使用 Raspberry Pi+Node.js 制作的语音助手.
https://github.com/webfansplz/volute
https://github.com/ARM-software/armnn
https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides
https://github.com/arduino/AIoT-Dev-Summit-2019#tinyml-application-development-for-everyone
https://github.com/wuaalb/pytorch_template_audio
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
https://github.com/xboot/libonnx
计划手写一份纯C版AI深度学习推理引擎,并支持硬件加速接口
https://whycan.com/t_5440.html
https://github.com/microsoft/onnxjs
https://github.com/microsoft/onnxjs-demo
onnxjs-demo
https://microsoft.github.io/onnxjs-demo/#/mnist
https://github.com/transcranial/keras-js
https://github.com/yuantiku/ytk-learn
http://www.broadview.com.cn/book/2422
猿题库、猿辅导
search baidupan, 32905.zip
https://github.com/OAID/SpeechRecognition
https://github.com/zackchen/MatrixSlow
用Python实现深度学习框架
https://www.cnblogs.com/BaroC/p/4283380.html
libMFCC - C library for computing Mel-Frequency Cepstral Coefficients
https://github.com/jsawruk/libmfcc
https://zhuanlan.zhihu.com/p/55371926
mfcc
https://github.com/Simakeng/speech-recognition-on-stm32
https://github.com/search?q=lifter+hz2mel&type=code
c_keyword_spotting, kws_guess
https://github.com/ruslanbasic/cpes/tree/master/projects/iobjects-esp_cp/components/kws_guess/c_keyword_spotting
https://www.st.com/en/evaluation-tools/32f411ediscovery.html#overview
https://github.com/google/XNNPACK
https://github.com/ENCP/CNNdroid
请问在CPU下最快的深度学习框架是哪种?caffe2?mkldnn?nnpack?
https://www.zhihu.com/question/54841525
https://blog.csdn.net/sinat_25549771/article/details/53320396
http://www.pengzhihui.xyz/2019/07/15/pico/
http://www.pengzhihui.xyz/2019/07/20/m4cnn/
http://www.pengzhihui.xyz/2019/09/13/k210-1/
http://www.51hei.com/bbs/dpj-122615-1.html
Arduino制作:支持Basic和VGA显示器的复古计算机
https://www.quwj.com/2019/01/25/arduino-basic-pc-with-vga-output.html
https://github.com/BleuLlama/TinyBasicPlus
https://make.quwj.com/project/92
http://www.armbbs.cn/forum.php?mod=viewthread&tid=95736
https://blog.csdn.net/ybhuangfugui/article/details/99514317
https://github.com/maryan167/MT_MicroSpeech-Tak_Ni-
search baidupan
https://pytorch.org/tutorials/intermediate/speech_command_recognition_with_torchaudio.html
search baidupan, book
search baidupan, 20160414hbarm.zip
北京航空航天大学出版社
http://service.buaapress.com.cn//mzs/file/index/c/d/id/8
AI expansion pack for STM32CubeMX
- https://my.st.com/content/my_st_com/en/products/embedded-software/mcu-mpu-embedded-software/stm32-embedded-software/stm32cube-expansion-packages/x-cube-ai.license=1607411616870.product=X-CUBE-AI-Win.version=5.2.0.html#documentation
- Getting started with X-CUBE-AI Expansion Package for Artificial Intelligence (AI)
https://my.st.com/resource/en/user_manual/dm00570145-getting-started-with-xcubeai-expansion-package-for-artificial-intelligence-ai-stmicroelectronics.pdf - HAR-CNN-Keras
https://github.com/Shahnawax/HAR-CNN-Keras - ConvNetJS MNIST demo
https://cs.stanford.edu/people/karpathy/convnetjs/demo/mnist.html
https://cs.stanford.edu/people/karpathy/convnetjs/ - Lasagne
https://lasagne.readthedocs.io/en/latest/ - Caffe
http://caffe.berkeleyvision.org - ONNX
https://onnx.ai - Keras
https://keras.io
- 基于stm32f407cube ai实例
https://blog.csdn.net/qq_39505991/article/details/95176720 - 嵌入式MCU也能跑AI?STM32 Cube.AI工具包使用初探
https://zhuanlan.zhihu.com/p/64353677 - STM32CubeMx wiht AI 初体验
https://blog.csdn.net/weixin_37598106/article/details/107105068
https://github.com/Lebhoryi/Edge_AI/tree/master/Project1-linear - 基于STM32F767ZI AI 应用工程创建
https://bbs.21ic.com/icview-2611188-1-2.html - search MX_X_CUBE_AI_Process
https://github.com/dasmehdix/stm32f303_simpleCustomNN/blob/master/Core/Src/main.c - search MX_X_CUBE_AI_Process har
https://github.com/search?q=MX_X_CUBE_AI_Process+har&type=code
https://github.com/wiyarun/stm32l476_hello_ai
https://github.com/c106czs/HAR_STM32L475VG-Project - CUBEMX-AI-STM32F4-DISCO
https://github.com/TrevorHeyl/CUBEMX-AI-STM32F4-DISCO
http://www.broadview.com.cn/book/5147
search baidupan, paddle-lite代码.zip
https://github.com/PaddlePaddle/Paddle-Lite
https://github.com/allonli/mobile-deep-learning
https://github.com/DeepScale/SqueezeNet
https://github.com/PaddlePaddle/Paddle-Lite/blob/develop/mobile/src/operators/math/winograd/winograd_transform_f6k3.cpp
mobile-deep-learning (MDL) -> Paddle-Mobile -> Paddle-Lite
https://github.com/xiebaiyuan/paddle-mobile
https://paddle-lite.readthedocs.io/zh/latest/demo_guides/opencl.html