===机器感知===
====语音识别====
[http://spandh.dcs.shef.ac.uk/chime_workshop/presentations/CHiME_2016_Bacchiani_keynote.pdf Google_ASR]
====计算机视觉====
====自然语言理解====
===深度神经网络===
[https://github.com/dmlc/mxnet dmlc_mxnet]
=作业1=
Install TensorFlow Mobile in HUAWEI Kylin 930
===智能问答===
郑钰琦
高一川
=作业1=
Install TensorFlow Mobile in HUAWEI Kylin 930
=论文研读=
声控智能硬件-频谱图生成
# 将24条语音文件生成对应的频谱图（spectrogram）将24条语音文件生成对应的频谱图（Spectrogram）[5]，频谱图文件名称为*.spec
# 熟悉TensorFlow环境[6]，使用TensorFlow搭建3层全连接的神经网络（24个softmax输出）。
=参考文献=
1. # Stuart Russell and Peter Norvig, Artificial Intelligence: A modern approach. Prentice-Hall, 2005. 2. # Ferrucci, David A. "Introduction to “this is watson”." IBM Journal of Research and Development 56.3.4 (2012): 1-1. 3. # Bradski, Gary, and Adrian Kaehler. Learning OpenCV: Computer vision with the OpenCV library. O'Reilly Media, Inc., 2008. 4. # Hauswald, Johann, et al. "Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers." ASPLOS, ACM, 2015. 5. # Spectrogram, https://en.wikipedia.org/wiki/Spectrogram 6. # TensorFlow, https://www.tensorflow.org