搜索资源列表
stanford-deep-learning-matlab-code
- stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。-Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.
deep-learning-for-dignosis
- deep learning for diagnosis, this is a very popular and important method for feature learning.在故障诊断的应用中将很有意义。-deep learning for diagnosis, this is a very popular and important method for feature learning. Application in Fault Diagnosis Lieutenant mea
Deep-Learning
- 文章简述了一位大牛研究深度学习（Deep Learning）后的心得及见解-Article outlines a large cattle study deep learning (Deep Learning) after experiences and insights
2013-Deep-Learning
- 这是有关deep learning的最新简述，包含了在各领域的研究进展-this is a review of deep learning ,you can read it carefully to get more information
deep-learning
- 深度学习方法的入门必备的基础资料，帮助初学者很快理解深度学习方法。-Introduction to the necessary basic theory of deep learning method
deep-learning
- 最近热门的深度学习的有关英文文献，以及其基础RBM的文献-the papers about deep learning and its basis of RBM
Deep-Learning-Toolbox
- 深度学习matlab工具箱,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。-Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Ne
Deep-learning-Methods
- 这个文档是关于深度学习的方法和应用，由微软研究和编写的。-This document is about the deep learning method and the application, research and written by Microsoft.
deep-learning-turior
- 一本英文版的深度学习教程，内容全面，值得得初学者学习。-A deep learning in English tutorial, comprehensive, is worth to beginners learning.
deep-learning-scene-recognition
- deep learning code it helpful the begainer in deep learning-deep learning code it helpful the begainer in deep learning
Introduction-to-deep-learning
- 深度学习是机器学习最热门的领域,适合机器视觉的深度学习入门讲义-Deep learning is the most popular field of machine learning, suitable for machine vision of deep learning introductory notes
Deep-learning-and-new-progress-
- 深度学习是机器学习中的一个新的研究领域。通过深度学习的方法构建深度网络来抽取特征是目 前目标和行为识别中得到关注的研究方向。为引起更多计算机视觉领域研究者对深度学习进行探索和讨论，并推 动目标和行为识别的研究，对深度学习及其在目标和行为识别中的新进展给予概述。方法首先介绍深度学习领 域研究的基本状况、主要概念和原理 然后介绍近期利用深度学习在目标和行为识别应用中的一些新进展。结 果阐述了深度学习与神经网络之间的关系，深度学习的优缺点，以及目前深度学习理论需要解决的主要问题。
neural-networks-and-deep-learning-master
- 关于深度学习的一本很好的入门书，是中文的，很详细，公式推到很详细(On the depth of learning a good introductory book, is Chinese, very detailed, the formula is very detailed)
Deep Learning Tutorial
- 李宏毅教授浅显易懂的讲解，没有太深的数学基础也能看懂(Professor Li Hongyi's easy to explain, not too deep mathematical basis can also understand)
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.)
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。(Deep Learning with Python intr
Neural-Networks-and-Deep-Learning-A-Textbook
- Charu C. Aggarwal Neural Networks and Deep Learning
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)
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)
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)