Learn Deep Learning in 2023 with best Deep Learning courses, best Deep Learning tutorials & best Deep Learning books in 2023
Explore deep learning books, reading lists, and resources. Topics include AI, parallel computing, accelerated data science, and more.
https://github.com/fengdu78/deeplearning_ai_booksgithub.com/fengdu78/deeplearning_ai_books 2...
Deep Learning Specialization对卷积神经网络 (CNN)、递归神经网络 (RNN)、长短期记忆 (LSTM) 等深度学习常用的网络结构、工具和知识都有涉及。 课程中也会有很多实操项目,帮助学生更好地应用自己学到的深度学习技术,解决真实世界问题。这些项目将涵盖医疗、自动驾驶、和自然语言处理等时髦领域,以及音乐生成等等。
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源). Contribute to tengmankai/deeplearning_ai_books development by creating an account on GitHub.
[125] 2023 Chest COVID-19 automated screening End-to-end framework with deep learning Lee et al. [126] 2019 Stomach Gastric cancer recognition Deep neural network and transfer-learning Table 9. Review of bone pathologies detection using deep learning. ReferenceYearPathologyModalityProposed approach ...
在这5堂课中,学生将可以学习到深度学习的基础,学会构建神经网络,并用在包括吴恩达本人在内的多位业界顶尖专家指导下创建自己的机器学习项目。Deep Learning Specialization对卷积神经网络 (CNN)、递归神经网络 (RNN)、长短期记忆 (LSTM) 等深度学习常用的网络结构、工具和知识都有涉及。
machine learning operations, and platforms. In addition, he holds the position of AI Advisor at CableLabs, where he contributes to integrating the broadband industry with AI technologies. Luís is also a Ph.D. Researcher in AI at the University of Porto's AI&CS lab and oversees the Data Sc...
December 29, 2023 bySeiichiro M.(JP) “It seemed to me very practical in comparison with other similar books. Above all, in the beginning part, the fundamental principle of hidden layers is well described for intermediate level engineers, who are not familiar with deep-learning techniques.” ...
As of January 2023, the paper presenting DeepLog by Du, Li, Zheng, and Srikumar (2017) that was published in 2017 has the highest citation count and is arguably the most influential of all reviewed publications as they were the first to propose an approach based on deep learning that ...