04 2017 档案
摘要:卷积神经网络原理浅析 卷积神经网络(Convolutional Neural Network,CNN)最初是为解决图像识别等问题设计的,当然其现在的应用不仅限于图像和视频,也可用于时间序列信号,比如音频信号、文本数据等。在早期的图像识别研究中,最大的挑战是如何组织特征,因为图像数据不像其他类型的数据
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摘要:亚马逊将MXNet指定为官方深度学习平台,1月23日MXNet成为Apache的卵化项目。 无疑,这些将MXNet推向深度学习的热潮中,成为热捧的项目。当然,学习MXNet也是很有必要的。哈哈,加油深度学习。 目前支持以下的语言: Python R C++ Julia Scala Python R
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摘要:Increasing amount of data is available on the web. Web scraping is a technique developed to extract data from web pages automatically and transforming
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Feature Engineering in IoT Age – How to deal with IoT data and create features for machine learning?
摘要:Introduction If you ask any experienced analytics or data science professional, what differentiates a good model from a bad model – chances are that y
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摘要:Introduction Reinforcement learning has recently gained a great deal of traction in studies that call for human-like learning. In settings where an ex
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