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| =====深度学习===== | | =====深度学习===== |
− | :''主文章:[https://en.wikipedia.org/wiki/Deep_learning 深度学习]''
| + | 近几年来,硬件价格的下降和个人用GPU的发展促进了'''深度学习 Deep Learning'''概念的发展,该概念由人工神经网络中的多个隐层组成。这种方法试图模拟人脑将光和声音处理成视觉和听觉的方式。深入学习的一些成功应用是计算机视觉和语音识别。 |
| + | <ref>Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng. "[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.149.802&rep=rep1&type=pdf Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations]" Proceedings of the 26th Annual International Conference on Machine Learning, 2009.</ref>。 |
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− | 近几年来,硬件价格的下降和个人用[https://en.wikipedia.org/wiki/Graphics_processing_unit GPU]的发展促进了'''深度学习 Deep Learning'''概念的发展,该概念由人工神经网络中的多个隐层组成。这种方法试图模拟人脑将光和声音处理成视觉和听觉的方式。深入学习的一些成功应用是[https://en.wikipedia.org/wiki/Computer_vision 计算机视觉]和[https://en.wikipedia.org/wiki/Speech_recognition 语音识别]
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− | <ref>Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng. "[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.149.802&rep=rep1&type=pdf Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations]" Proceedings of the 26th Annual International Conference on Machine Learning, 2009.</ref>。 | |
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| ==== 决策树 ==== | | ==== 决策树 ==== |