搜索资源列表
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 s
Deep Learning BOOK(Bengio)中文
- Yoshua Bengio编写的深度学习书籍，详细介绍了深度学习的各方面内容，此版本为中文版(The deep learning book, written by Yoshua Bengio, describes in detail all aspects of deep learning. This version is a Chinese version.)
gcForest-master
- 基于决策树构建深度森林模型实现较高特征表示能力相比深度卷积神经网络(Building deep forest model based on decision tree to achieve higher feature representation ability compared with deep convolution neural network)
Landmark-based-deep-feature-learning-master
- 此matlab包是深度学习磁共振比较好用的工具。(deep learning for MRI)
Deep Learning Tutorial Release 0.1
- Deep Learning Tutorial Release 0.1
deep-residual-networks-master
- 深度残差网络实现代码，有何凯明在2015年提出的残差网络，映入了自我影射，解决了深度网络的退化问题(deep residual network)
cs231n assignment solutions
- 斯坦福深度学习公开课cs231n的前两次作业代码(1st and 2nd assignment of cs231n, stanford deep learning course)
神经网络与深度学习讲义
- 邱锡鹏：深度学习与神经网络入门级教程，PDF版本(Basic tutorials of deep learning and neutral networks)
1-160521014039
- 深度学习讲解；李宏毅；电子版；各种经典算法(Deep Learning Tutorial;Deep learning attracts lots of attention)
Python Deep Learning - Valentino Zocca
- 能够为我们的学习打下很好的基础，有利于我们学习深度学习(We can lay a good foundation for our study and help us to learn in depth.)
deep learning traning exercise
- this code for optimize initialization in deep learning
deeplearning
- How to learn deep learning
Deep Learning with Python Keras
- 学深度学习的很棒的书 python keras 值得细读一波(Deep Learning with Python Keras)
Dynamic_Deep_Neural_Networks
- We introduce Dynamic Deep Neural Networks (D2NN), a new type of feed-forward deep neural network that allows selective execution. Given an input, only a subset of D2NN neurons are executed, and the particular subset i
DeepIoT
- deep learning paper and is from ACM
Wu_3D_ShapeNets_A_2015_CVPR_paper.pdf
- 3D Deep Learning
斯坦福大学-深度学习基础教程
- 斯坦斯坦福大学深度学习算法介绍，包括基本原理，各种处理算法。(Deep learning algorithms introduction by Stanford University)
吴恩达深度学习基础教程
- 吴恩达教授有关深度学习浅显易懂的算法介绍，包括基础算法和示例。(Deep learning algorithms introduction by Andrew Ng.)
深度学习开放数据集
- 深度学习开放数据集，用于机器学习的数据库(Deep learning open data set)
dlbook_cn_public
- a book for deep learning beginners