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《动手学深度学习》(Dive into Deep Learning)是由阿斯顿·张(Aston Zhang)、李沐(Mu Li)等人共同合著的一本深度学习教材。这本书以在线交互式书籍的形式呈现,采用Jupyter Notebook,提供了丰富的代码示例和实践机会。书中主要内容包括深度学习的基本概念、理论知识以及实际应用。 以下是该书的一些主要笔记: 基础概念...
链接: https://pan.baidu.com/s/1d4dla1PV5Il8njUVPkky6g 提取码:0htp 《动手学深度学习》(Dive into Deep Learning)是由阿斯顿·张(Aston Zhang)、李沐(Mu Li)等人共同合著的一本深度学习教材。这本书以…
Data augmentation is a necessity to enhance data efficiency in deep learning. For vision-language pre-training, data is only augmented either for images or for text in previous works. In this paper, we present MixGen: a joint data augmentation for vision-language representation learning to furthe...
Mu Li is a principal scientist for machine learning at AWS. Before joining AWS, he was the CTO of Marianas Labs, an AI start-up. He also served as a principal research architect at the Institute of Deep Learning at Baidu. He obtained his PhD in computer science from Carnegie Mellon Unive...
本书的英文版Dive into Deep Learning是加州大学伯克利分校2019年春学期“Introduction to Deep Learning”(深度学习导论)课程的教材。截至2019年春学期,本书中的内容已被全球15 所知名大学用于教学。本书的学习社区、免费教学资源(课件、教学视频、更多习题等),以及用于本书学习和教学的免费计算资源(仅限学生和老师)...
Deep learningCorrelated InterferenceSignal detectionWireless communicationIoT5GIn this paper, we propose an ultra-reliable multiuser multiple-input multiple-output (MU-MIMO) detector based on deep learning for the fifth-generation and beyond the fifth-generation (5G/B5G) enabled Internet of Things (IoT...
项目的重要特征之一就是“临时性”,在确定的时间段内,交付预期的成果,是所有相关方都期待看到的。项目管理团队,既要关注为客户提供预期时间的产品交付,也要关注供应商能够按照合同条款落实物资供应,这些都是项目进度管理的重要内容。 项目执行团队需要根据计划来开展工作,但是变更因素会导致进度无法按照预期实现。所以,有...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,… Python27,8017,914UpdatedMar 20, 2024 ...