Transformers for Machine Learning 出版社:Chapman and Hall/CRC 副标题:A Deep Dive 出版年:2022-5 页数:284 装帧:Paperback ISBN:9780367767341 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Transformers are becoming a core part of many neural network architecture...
Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. Key Features: A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book ...
书籍：Transformers for Machine Learning：A Deep Dive 作者：Uday Kamath，Wael Emara，Kenneth L. Graham 出版：CRC Press 01 书籍介绍 Transformer已成为许多神经网络架构的核心部分，在自然语言处理、语音识别、时间序列和计算机视觉等广泛应用中得到了应用。Transformer经历了许多的改进和变化，从而衍生出了新的技术...
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Modern Spark Pipelines are a powerful way to create machine learning pipelines Spark Pipelines use off-the-shelf data transformers to reduce boilerplate code and improve readability for specific use cases This blog outlines how to construct custom Spark Transformers to integrate with Spark Pipeli...
For experiments with machine learning models, a new word embedding was trained on a large corpus of the same domain as the described task and is evaluated. Finally, different prediction thresholds and ensembles of the developed models are used to explore the possible improvements, and the proposed...