搜索资源列表
machine-learning-ex7
- 吴恩达机器学习课程，第八周作业，详解如何实现PCA以及kmeans(Andrew NG machine learning course, eighth weeks of assignment, detailed how to implement PCA and kmeans)
machine-learning-ex8
- 吴恩达机器学习公开课第九周作业，教你如何用“协同过滤”算法实现电影推荐系统(Andrew NG machine learning open class ninth weeks assignment to teach you how to use the "collaborative filtering" algorithm to implement the movie recommendation system)
Regression learning
- 初次接触机器学习，所要知道的一些经典算法(First contact machine learning, some classical algorithms to know)
DeepSpeech-master
- Project DeepSpeech is an open source Speech-To-Text engine. It uses a model trained by machine learning techniques, based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow project to make the implementation easier.
HW5
- Distinguishing between handwritten numbers with Machine Learning
watermelon
- sample code of Machine Learning textbook wrote by Zhihua Zhou
machine learning
- 机器学习算法非常详细，包括深度学习，遗传算法，蚁群算法(Detailed introduction to machine learning algorithms)
neural_network_qvalue
- critic q learning with matlab m file
Adaptive learning in agents behaviour
- Adaptive learning in agents behaviour
can bus learning materials
- CAN BUS 学习资料，包括SAE_J1939-71协议、帕萨特CAN数据总线的结构原理、现场总线CAN原理与应用技术（饶运涛+邹继军+郑勇芸）（书签）等(can bus learning materials)
DeepLearning
- Deep Learning Tutorial 李宏毅 Hung-yi Lee(Deep Learning Tutorial Hung-yi Lee)
neural-networks-and-deep-learning-master
- 神经网络与深度学习相关代码 mnist数据集(neural-netword and deep-learning)
MachineLearning_Andrew Ng 2
- machine learning Andrew Ng
dlbook_cn_v0.5-beta
- deep learning深度学习的经典资料(Deep leraning materials)
deeplearning
- 李弘毅deep learning的ppt(Li Hongyi deep learning ppt)
深度学习书
- 此书详细的介绍了各种人工智能的方法, 书中基本涵盖所有人工智能的方法，并且包含许多较新的方法。(This book introducing the different methods of deep learning, this book contains all of deep learning method, including some new algorithms.)
深度学习第一次
- 深度学习《Deep Learning》研讨班的ppt(something about deep learning)
LOGESTIC REGRESSION
- machine learning logestic regrassion second code
deep-learning-with-python-notebooks-master
- Deep Learning With Python 原书配套代码。 包括所有常见的深度学习模型 注释丰富，代码规范 使用流行的keras库实现，jupyter notebook格式(Deep Learning With Python Original book matching code. Including all the common deep learning models Rich annotation, code specification Using the popula
Q学习
- 增强学习(Q-learning)要解决的是这样的问题:一个能感知环境的自治agent，怎样通过学习选择能达到其目标的最优动作(Reinforcement learning (Q-learning) has to solve this problem: an autonomous agent that can perceive the environment, and how to achieve the optimal action of its target through learning