githubmachine-learningcoursesolutionssolutioncourseragenerative-adversarial-networkgancoursesgansgenerative-adversarial-networksspecializationassignmentsassignementcoursera-assignmentdeeplearning-ai UpdatedNov 21, 2020 Jupyter Notebook Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera...
variational_text_inference Make some new edits, to generalize Dec 14, 2016 README.md Initial commit Nov 2, 2016 gradients-2.0.ipynb Add files via upload Jun 8, 2019 reproduce_error.ipynb Created using Colaboratory Mar 17, 2020 Repository files navigation README Deep-Learning-ProjectsAbout...
DSSTNE - Amazon's library for building Deep Learning models SyntaxNet - Google's syntactic parser - A TensorFlow dependency library mlpack - A scalable Machine Learning library Torchnet - Torch based Deep Learning Library Paddle - PArallel Distributed Deep LEarning by Baidu NeuPy - Theano based Pyth...
论文可在Github上直接下载阅读,https://github.com/deepseek-ai/DeepSeek-R1。 出于好奇和个人兴趣,我阅读了其论文,这里做一个简要的学习记录。 DeepSeek使用纯强化学习(Reinforcement learning, RL)来训练其模型的推理能力。 目前主流模型都使用监督数据(Supervised data)来训练。监督数据简单而言就是由人工标注的“...
如需上传自定义模型或第三方平台(例如 Huggingface)模型,可参考 GitHub - elastic/eland: Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch。 2. 登录 Kibana 后,在左侧导航栏找到 Machine Learning 功能。 3. 进入模型管理页面,并找到类型为 text_embedding 的模型...
风叔的研究方法主要是阅读DeepSeek最重要的两篇论文,《DeepSeek-V3 Technical Report》、《DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning》,以及研究DeepSeek在Github上的开源代码。 对论文感兴趣的读者可以直接回复关键词【deepseek论文】获取。
吴恩达深度学习作业,搬运于github,原地址https://github.com/robbertliu/deeplearning.ai-andrewNG.git展开收起 暂无标签 /Mei_HW/deeplearning.ai-andrew-ng 保存更改 取消 发行版 暂无发行版 贡献者(2) 全部 马建仓 AI 助手 尝试更多 代码解读 代码找茬 ...
https://github.com/PaddlePaddle/awesome-DeepLearning/ 本项目是飞桨官方出品的一站式深度学习在线百科,飞桨致力于让深度学习技术的创新与应用更简单,更多飞桨内容欢迎访问飞桨官网。本项目内容涵盖: 📒课程类:零基础实践深度学习、产业实践深度学习、特色课程、飞桨套件课程汇总资料 📒书籍类:《动手学深度学习》paddl...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.