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Learning Wireless Java
- Learning Wireless Java
Learning(lv7)
- LabVIEW7实用教程 learning 全部资料 完整版
VC-ADO-AO-Learning
- VC-ADO & DAO-Learning VC-ADO & DAO-Learning
Machine learning A Probabilistic Perspective
- 经典教学书籍<Machine learning A Probabilistic Perspective>(book <Machine learning A Probabilistic Perspective>)
Machine Learning with TensorFlow
- 机器学习 人工智能 决策树 随机森林 机器学习 人工智能 决策树 随机森林(machine learning tensor flow intelligent artifish)
Deep Learning Based Communication Over the Air
- 通信系统的端到端学习是a 引人入胜的新颖概念迄今为止仅被验证 模拟基于块的传输。它允许学习 发射机和接收机实现为深度神经网络 (NN),它们针对任意可区分的端到端进行了优化 performancemetric,例如块错误率(BLER)。在本文中,我们 证明无线传输是可能的:我们建造, 训练,并运行完整的通讯系统 的神经网络使用非同步的现成软件定义无线电 和开源深度学习软件库。(End-to-end learning o
stanford-deep-learning-matlab-code
- Stanford 大学的深度学习源代码,可用于模式识别和预测,比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)
TensorFlow Machine Learning Cookbook
- 机器学习入门平台,谷歌公司的机器学习平台说明,对机器学习初学者比较实用(Machine learning platform, Google Corporation's machine learning platform descr iption, for machine learning beginners more practical.)
Deep Learning with Python
- 本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱(Fran?ois Chollet)执笔,详尽介绍了用Python和Keras进行深度学习的探索实践,涉及计算机视觉、自然语言处理、生成式模型等应用。书中包含30多个代码示例,步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化,读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后,读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。(
ICEM learning geometry files
- 简单的ICEM CFD算例,入门者必学,配套书籍为ANSYS ICEM CFD 基础教程与实例详解(simple ICEM CFD learning examples)
Andrew Ng machine-learning-ex4
- 吴恩达机器学习课程源码,第4个练习作业代码(Andrew machine learning course source code, the fourth practice code)
Neural-Networks-and-Deep-Learning-A-Textbook
- Charu C. Aggarwal Neural Networks and Deep Learning
q-learning
- 在动态环境中使用Q学习优化算法进行优化,仿真软件为Matlab(Q-learning optimization algorithm is used to optimize in dynamic environment. The simulation software is MATLAB)
Reinforcement Learning:An Introduction
- 在这本书中,我们探索了一种从交互中学习的计算方法。我们不直接对人或动物如何学习进行理论分析,而是探索理想化的学习情境,评估各种学习方法的效率。也就是说,我们采用人工智能研究人员或工程师的角度。我们探索去设计在这些方面上格外有效率的机器,他能够解决科学或经济学领域的问题。通过数据分析和计算实验来评估这些设计。我们将这种方法称为强化学习,更侧重于目标导向的交互学习,而不是其他方法。(In this book, we explored a c
伯克利大学机器学习(Practical Machine Learning)
- 伯克利大学机器学习相关资料,教程,论文,等(Berkeley University Machine Learning related Materials, courses, papers, etc.)
2016-deep learning
- deep learning英文电子版pdf,深度学习不错的书籍(Deep learning English electronic PDF, good books for deep learning)
Machine Learning
- 吴恩达新新书-Machine Learning Yearing-完整中文版-机器学习训练秘籍)(Wu Enda's New Book - Machine Learning Yearing - Complete Chinese Version - Machine Learning Training Secret Book))
Deep-Learning-in-Python-master
- 用于深度学习 循环神经网络等,方法是分类与回归(Classification and regression of deep learning)
Machine Learning in Action
- The book 'Machine Learning in Action'
Deep Learning with Python中英版(含代码)
- 深度学习四大名著:Deep Learning with Python 英文版,中文版,Python源码(Four Masterpieces on deep learning : Deep learning with Python English version,Chinese version, python source code)