Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns. Here are 4,731 public repositories matching this topic... Language: All Sort: Most stars deepfakes ...
Comparing the choice between deep learning or machine learning algorithms for your artificial intelligence application depends on your system’s goals and requirements. Why choose deep learning over machine learning? In one word, accuracy. Deep learning generally achieves higher accuracy and offers more ...
《Essential Machine Learning Algorithms in a nutshell》 介绍:机器学习基本算法简要入门. 《A Huge List of Machine Learning And Statistics Repositories》 介绍:Github机器学习/数学/统计/可视化/深度学习相关项目大列表. 《Information Processing and Learning》 介绍:CMU的信息论课程. 《Scheduled sampling for sequ...
《Deep Learning Reading list》 介绍:深度学习阅资源列表 《Deep Learning: Methods and Applications》 介绍:这是一本来自微的研究员 li Peng和Dong Yu所著的关于深度学习的方法和应用的电子书 《Machine Learning Summer School 2014》 介绍:2014年七月CMU举办的机器学习夏季课刚刚结束 有近50小时的视频、十多个...
My deep learning reading list 介绍:主要是顺着Bengio的PAMI review的文章找出来的。包括几本综述文章,将近100篇论文,各位山头们的Presentation。全部都可以在google上找到。 Cross-Language Information Retrieval 介绍:这是一本书籍,主要介绍的是跨语言信息检索方面的知识。理论很多 ...
总之,Deep Learning是值得关注的统计学习新算法。 深度学习(Deep Learning)是ML研究中的一个新的领域,它被引入到ML中使ML更接近于其原始的目标:AI。查看a brief introduction to Machine Learning for AI和an introduction to Deep Learning algorithms.
Breaking down tasks in the simplest ways in order to assist machines in the most efficient manner has been made likely by Deep Learning. That being said, which deep learning framework from the above list would best suit your requirements? The answer to that lies on a number of factors, ...
designed to teach you the fundamentals of deep learning as quickly as possible! MIT's introductory program on deep learning methods with applications to natural language processing, computer vision, biology, and more! Students will gain foundational knowledge of deep learning algorithms, practical experi...
Beyond simple memorization, neural Turing machines and memory networks are being used for tasks that would normally require reasoning and symbol manipulation. Neural Turing machines can be taught 'algorithms'. Among other things, they can learn to output a sorted list of symbols when their input co...
《Deep Learning Reading list》 介绍:深度学习阅资源列表 《Deep Learning: Methods and Applications》 介绍:这是一本来自微的研究员 li Peng和Dong Yu所著的关于深度学习的方法和应用的电子书 《Machine Learning Summer School 2014》 介绍:2014年七月CMU举办的机器学习夏季课刚刚结束 有近50小时的视频、十...