Paugam-Moisy, "An introduction to deep learning," ESANN, 2011.An introduction to deep learning (invited tutorial). Hollensen, Paul,Trappenberg, Thomas P. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . 2015...
涵盖了deep learning里各种tricks,引用非常全面. 《A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library》 介绍:这是一份python机器学习库,如果您是一位python工程师而且想深入的学习机器学习.那么这篇文章或许能够帮助到你. 《How to Layout and Manage Your Machine Learning Project》 介绍:...
介绍:这是一本信息检索相关的书籍,是由斯坦福Manning与谷歌副总裁Raghavan等合著的Introduction to Information Retrieval一直是北美最受欢迎的信息检索教材之一。最近作者增加了该课程的幻灯片和作业。IR相关资源:http://www-nlp.stanford.edu/IR-book/information-retrieval.html 《Machine learning in 10 pictures》 介绍...
(“Deep Learning” AND “detection” OR “classification” OR “segmentation” OR “Localization”), (“Deep Learning” AND “CPU” OR “GPU” OR “FPGA”), (“Deep Learning” AND “Transfer Learning”), (“Deep Learning” AND “Imbalanced Data”), ...
INTRODUCTION TO DEEP LEARNING WITH GPUS July 2015 1 What is Deep Learning? AGENDA 2 Deep Learning software 3 Deep Learning deployment 2 What is Deep Learning? 3 DEEP LEARNING AI CUDA for Deep Learning Deep Learning has become the most popular approach to developing Artificial Intelligence (AI) ...
The purpose of this study is to identify additional clinical features for sepsis detection through the use of a novel mechanism for interpreting black-box machine learning models trained and to provide a suitable evaluation for the mechanism. We use the
《Semi-Supervised Learning》 介绍:半监督学习,Chapelle.篇篇都是经典,作者包括Vapnik,Bengio,Lafferty,Jordan.此外推荐Xiaojin (Jerry) Zhu编写的Introduction to Semi-Supervised Learning. 介绍:Spark机器学习入门实例——大数据集(30+g)二分类. 《Free Resources for Beginners on Deep Learning and Neural Network...
Kubat M (2017) An Introduction to Machine Learning Aggarwal M, Murty MN (2021) Deep Learning. In: SpringerBriefs in Applied Sciences and Technology. https://doi.org/10.1007/978-981-33-4022-0_3 Schmidhuber J (2015) Deep learning in neural networks: an overview. Neural Netw. https://doi...
Introduction Development of devices in various domains requires reliable and repeatable design processes. The process is typically based on trial-and-error in experiments. However, this usually takes many iterations, cost, time, and most importantly, the prior professional knowledge/experience about the...
This paper surveys the field of deep multiagent reinforcement learning (RL). The combination of deep neural networks with RL has gained increased traction