搜索资源列表
Learning.ActionScript.2.0.for_Macromedia.Flash8.ra
- Learning Actionscr ipt 2.0 for Macromedia Flash 8
Semi-supervised Learning by Entropy Minimization
- Semi-supervised Learning by Entropy Minimization
[iPhone和iPad开发书籍大全].Learning.iOS.Game.Programming(Addison.Wesley.2010-09)
- [iPhone和iPad开发书籍大全].Learning.iOS.Game.Programming(Addison.Wesley.2010-09)
machine learning
- this documents main for the some homework solutions about the machine learning class
Transfer Learning with an Ensemble of Background Tasks
- boosting for transfer learning
2007-Transfer learning via inter-task mappings for temporal difference learning
- 2007-Transfer learning via inter-task mappings for temporal difference learning 迁移学习中的另外一篇重要文献
A Survey on Transfer Learning
- A Survey on Transfer Learning
python learning
- python learning 很好的入门学习资料
semi01.rar
- 近三年来半监督学习的国外顶级期刊论文，办监督的最新研究成果,Over the past three years semi-supervised learning of foreign top-level journal articles, to do oversight of the latest research results
Incremental-MOdel-Learning
- 本文提出了一种新型的演进式学习的模型，可以通过自动下载网络上图片达到自动分类的目的-This paper presents a new evolutionary learning model, can automatically download the network picture to achieve the purpose of automatic classification
Q-learning
- 关于Q学习的资料，并且证明了Q学习的收敛性-Information on the Q learning, and prove the convergence of Q learning
Boosting-a-weak-learning-algorithm
- Freund在1995年发表的一篇很经典的文章Boosting a weak learning algorithm by majority，是关于弱学习算法的，全英文写的-Freund in 1995 published a classic article Boosting a weak learning algorithm by majority, is on the weak learning algorithm, written in English
reinforfcement-learning
- 强化学习在认知无线电领域的应用，很有价值的英文参考资料。-Reinforcement learning in the field of cognitive radio applications, valuable reference materials in English.
Overview of Multi Task Learning
- 这是一篇综述，主要是关于基于深度学习的多任务学习的一些进展。(An Overview of Multi-Task Learning in Deep Neural Networks)
Deep Learning Book Chinese 20180727.pdf
- Yoshua Bengio新书《Deep Learning》中文版(The Chinese version of the new book Yoshua Bengio "Deep Learning")
AI Bible(Deep Learning)
- 随后该书分为三部分，第一部分是应用数学和机器学习基础，当初步具有上述理论基础后，才算叩开深度学习的大门。第二部分是深层网络的现代实践。第三部分是深度学习的理论研究，适用于想要执果索因、深入学习神经网络内在原理的研究人员学习。(The book is divided into three parts, the first part is the application of mathematical and machine learning based. When initially with t
OReilly.Learning.OpenCV.3.2016.12
- learning opencv3的pdf,供有需要的朋友学习(It's a book about opencv3,which provides resource to study for friends.)
Deep Learning
- deep learning 书籍，此书包括机器学习基础，深度前馈网络，卷积网络，蒙特卡洛方法等的详细介绍(Deep learning books, which include a detailed introduction to machine learning, deep feedforward networks, convolution networks, Monte Carlo methods, and so on)
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 computational method of learnin
Machine Learning in Action
- The book 'Machine Learning in Action'