为方便读者查找,本文汇总了《JavaScript深度学习》一书中用到的部分网络资源链接。链接中内容可能随时间变化,请读者知悉。

关于本书

第1章

表1-1中参考文献

  • a. Kaiming He et al., “Deep Residual Learning for Image Recognition,” Proc. IEEE Conference Computer Vision and Pattern Recognition (CVPR), 2016, pp. 770–778, http://mng.bz/PO5P.
  • b. Christian Szegedy et al., “Going Deeper with Convolutions,” Proc. IEEE Conference Computer Vision and Pattern Recognition (CVPR), 2015, pp. 1–9, http://mng.bz/JzGv.
  • c. Large Scale Visual Recognition Challenge 2017 (ILSVRC2017) results, http://image-net.org/challenges/LSVRC/2017/results.
  • d. Yunpeng Chen et al., “Dual Path Networks,” https://arxiv.org/pdf/1707.01629.pdf.
  • e. Yonghui Wu et al., “Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation,” submitted 26 Sept. 2016, https://arxiv.org/abs/1609.08144.
  • f. Chung-Cheng Chiu et al., “State-of-the-Art Speech Recognition with Sequence-to-Sequence Models,” submitted 5 Dec. 2017, https://arxiv.org/abs/1712.01769.
  • g. Volodymyr Mnih et al., “Playing Atari with Deep Reinforcement Learning,” NIPS Deep Learning Workshop 2013, https://arxiv.org/abs/1312.5602.
  • h. David Silver et al., “Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm,” submitted 5 Dec. 2017, https://arxiv.org/abs/1712.01815.
  • i. Varun Gulshan et al., “Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs,” JAMA, vol. 316, no. 22, 2016, pp. 2402–2410, http://mng.bz/wlDQ.

第2章

波士顿房价数据

第5章

第6章

第7章

第8章

第9章

9.4 延伸阅读

第10章

第11章

第12章

12.4 延展阅读

第13章

13.2.3节

13.4.3 探索TensorFlow.js生态

附录A

A.1 在Linux上安装tfjs-node-gpu

A.2 在Windows上安装tfjs-node-gpu

附录B