- 浏览: 35433 次
- 性别:
- 来自: XX
最新评论
-
moqiaoxp:
恩。思路不错,我已经基本实现了(未采用protobuf),后续 ...
基于netty+ protobuf +spring + hibernate + jgroups开发的游戏服务端 -
fanyun7654:
楼主能更深入的交流下这个不,我现在需要做一个类似的东西。
基于netty+ protobuf +spring + hibernate + jgroups开发的游戏服务端 -
endual:
你好,请问你是否可以做个简单的demo给我看看,我对model ...
jpa(Hibernate)实体在引入到多模块后遇到的问题和解决方法. -
moqiaoxp:
楼主,现在这个项目怎样了。
基于netty+ protobuf +spring + hibernate + jgroups开发的游戏服务端 -
朋在无锡:
谢谢,每次来都有收获
基于netty+ protobuf +spring + hibernate + jgroups开发的游戏服务端
相关推荐
人工智能+深度学习-思维导图_Deeplearning-Mindmap
ps下载Linux学习个人分享的思维导图,基于《鸟哥的Linux私房菜·基础篇·4th》_Linux-Learning-Mindmap-Share.zip Linux学习个人分享的思维导图,基于《鸟哥的Linux私房菜·基础篇·4th》_Linux-Learning-Mindmap-...
They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics.Learning with Kernels provides an introduction to SVMs and related kernel ...
deep learning with pytorch pdf版本pdf版本pdf版本pdf
Practical Machine Learning with Python A Problem-Solver's Guide to Building Real-World Intelligent Systems Author: Dipanjan Sarkar, Raghav Bali, Tushar SharmaISBN-10: 1484232062Year: 2018...
Deep Learning with Python 英文epub 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
《Deep Learning with PyTorch》是一本专注于使用PyTorch进行深度学习实践的书籍,由Vishnu Subramanian在2018年撰写。这本书为读者提供了一条清晰的道路,帮助他们掌握如何利用PyTorch这个强大的深度学习框架来构建...
Deep learning with tensorflow Deep learning with tensorflow Deep learning with tensorflow Deep learning with tensorflow Deep learning with tensorflow Deep learning with tensorflow
Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. Purchase of the print book includes a free eBook...
Large Scale Machine Learning with Python [PDF + EPUB + CODE] ... We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.
Advanced Machine Learning with Python 英文azw3 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
《Deep Learning with PyTorch》这本书是一本全面介绍如何使用PyTorch框架构建神经网络模型的实用指南。PyTorch是一个开源的机器学习库,主要用于计算机视觉和自然语言处理等领域的研究和开发,它基于Python语言,由...
Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large...
The availability of affordable compute power enabled by Moore’s law has ...addition, not following a structured workflow might not yield consistent and relevant results with Machine Learning solutions.
《Learning with Kernels》是Bernhard Schölkopf和Alexander J. Smola两位学者合著的机器学习领域的经典著作。本书深入探讨了核方法(kernel methods)在机器学习中的应用,特别强调了支持向量机(Support Vector ...
Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. Purchase of the print book includes a free eBook...
2018年2月第一版的Deep Learning with PyTorch, A practical approach to building neural network models using PyTorch,中文版前5章,原书真心不错,值得拥有。