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ai [2018/03/26 17:41]
rzr [MISC]
ai [2019/01/11 17:37] (current)
rzr [HARDWARE]
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 @TaG: MathS @TaG: MathS
 +
  
 ===== Learn ===== ===== Learn =====
  
   * https://github.com/karpathy/convnetjs# JavaScript   * https://github.com/karpathy/convnetjs# JavaScript
 +  * https://00f.net/2011/03/10/redis-as-a-recommendation-engine/
  
 +  * scikit-learn: learning process (py)
 +  * and deep learning  neural  network  using  Keras  with  TensorFlow backend
  
  
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   * https://sebastianraschka.com/pdf/books/dlb/appendix_g_tensorflow.pdf   * https://sebastianraschka.com/pdf/books/dlb/appendix_g_tensorflow.pdf
   * https://deepdetect.com/# Fr   * https://deepdetect.com/# Fr
 +  * https://01.org/blogs/astojilj/2018/background-removal-tensorflow.js# JavaScript
 +  * https://towardsdatascience.com/why-machine-learning-on-the-edge-92fac32105e6# McU
 +
 +
 +===== SOFTWARE =====
 +
 +  * https://mycroft.ai/
 +
 +
 +===== HARDWARE =====
 +
 +  * https://aiyprojects.withgoogle.com/edge-tpu/# HardWare
 +  * https://youtu.be/grgNXdkmzzQ# McU StM
 +  * https://www.st.com/stm32cubeai#
 +  * https://github.com/araobp/stm32-mcu/tree/master/NUCLEO-F401RE/AI#
 +  * https://www.st.com/content/st_com/en/stm32-ann.html#
 +
 +
 +===== TimeSeries =====
  
 +  * https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424# TimeSeries
 +  * https://machinelearningmastery.com/how-to-get-started-with-deep-learning-for-time-series-forecasting-7-day-mini-course/#
 +  * https://medium.com/open-machine-learning-course/open-machine-learning-course-topic-9-time-series-analysis-in-python-a270cb05e0b3#
  
 ===== MISC ===== ===== MISC =====
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   * https://devblogs.nvidia.com/parallelforall/malware-detection-neural-networks/# SecuritY   * https://devblogs.nvidia.com/parallelforall/malware-detection-neural-networks/# SecuritY
   * http://propelml.org   * http://propelml.org
 +  * https://gitlab.com/nicolaspanel/TrainingSpeech# VoicE
 +  * https://en.wikipedia.org/wiki/CIFAR-10
 +  * https://github.com/snipsco/snips-nlu#
 +  * https://www.sigdial.org/files/workshops/conference18/proceedings/pdf/SIGDIAL22.pdf
  
ai.1522078895.txt.gz ยท Last modified: 2018/03/26 17:41 by rzr
 
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