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Artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) are three of the most powerful technologies that our modern society has access to. Theycan process datain huge quantities in a way that no human being could hope to achieve, and they will revolutionize ...
Explain Everything explained in 4 minutes 🎉 Enhance your students’ learning by making your teaching materials interactive and fun. It’s that easy. Supercharge your teaching both in the classroom and any hybrid model Create presentations in minutes ...
Self-supervised learningIn recent years, Artificial Intelligence (AI) has proven its relevance for medical decision support. However, the "black-box" nature of successful AI algorithms still holds back their wide-spread deployment. In this paper, we describe an eXplanatory Artificial Intelligence (...
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu - explainX/explainx
Explains the selected text based on the context it's mentioned in. Explain AI is your learning companion. When you find a word or phrase you don’t fully understand, highlight it and Explain AI will give you the full explanation within the context. You can also ask clarifying questions. ...
说明一切都是最具创新性的在线白板。开始在iOS上转换您的虚拟协作,然后将其带到Web上! 唯一的交互式白板体验,可以通过语音聊天进行实时和连续协作,以及可以通过网络视频链接 | Explain Everything Whiteboard怎么样,是否值得买 | Mergeek.com
AI Show May 19, 2020 With the recent popularity of machine learning algorithms such as neural networks and ensemble methods, etc., machine learning models become more like a 'black box', harder to understand and interpret. To gain the stakeholders' trust, there is a strong need to develop...
[DeeplearningAI笔记]序列模型3.1基本的 Seq2Seq /image to Seq 标记,解码网络工作结束。和介绍RNN时一样,解码网络将前一个时间步的输出作为输入进行该时间步的预测。这个模型简单地使用一个编码网络对输入的法语句子进行编码,然后用一个解码网络来生成对应的英语翻译...表示输出句子的单词。 首先建立 编码网络encode...
In the shorter term, machine learning has practical business applications like analyzing large volumes of data, powering self-driving vehicles, and assisting medical diagnoses. As AI research advances, the number of tasks it can perform will only increase. Companies are already desperate for AI exper...