深度学习资料整理

博客:

  • 一个故事看懂AI神经网络工作原理

  • 卷积神经网络超详细介绍

  • 循环神经网络(RNN)原理通俗解释

  • 循环神经网络(RNN, Recurrent Neural Networks)介绍

  • 长短期记忆网络(Long Short-Term Memory,LSTM)及其变体双向LSTM和GRU

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视频:

  • 吴恩达《Deep Learning》系列课程
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图书:

  • 《深度学习入门:基于Python的理论与实现》
  • 《Python深度学习》
  • 《深度学习》(花书)
  • 《神经网络与深度学习》(邱锡鹏教授)
  • 《百面深度学习》
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教程:

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论文:

  • LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 2015, 521, 436–444.
  • Yu Kai, Jia Lei, Chen Yuqiang, and Xu Wei. Deep Learning: Yesterday, Today, and Tomorrow[J]. 计算机研究与发展, 2013, 50(9): 1799-1804.
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顶刊顶会:

  • AI(Artificial Intelligence)
  • IJCV(International Journal of Computer Vision)
  • JMLR(Journal of Machine Learning Research)
  • AAAI(AAAI Conference on Artificial Intelligence)
  • NeurIPS(Annual Conference on Neural Information Processing Systems)
  • ACL(Annual Meeting of the Association for Computational Linguistics)
  • CVPR(IEEE Conference on Computer Vision and Pattern Recognition)
  • ICML(International Conference on Machine Learning)
  • ICLR(International Conference on Learning Representations)
  • IJCAI(International Joint Conference on Artificial Intelligence)
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上次更新时间:2021.01.20

 

 

 

 

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