搜索资源列表
matlab 深度学习
- ｍａｔｌａｂ 进行深度学习入门；介绍了深度学习和深度学习场景，以及构建深度学习网络(It introduces the deep learning and deep learning scenarios Matlab, and the construction of deep learning network.)
music-source-separation-master
- 基于深度学习的唱声分离，可以将带有配乐的音乐分离出背景与唱声。(Sings separation based on deep learning)
code
- 一般深度学习MATLAB代码 一个简单深度学习工具箱原创(General deep learning MATLAB code)
Desktop
- 一般深度学习MATLAB代一个简单深度学习工具箱(General deep learning MATLAB generation of a simple deep learning toolbox)
03_III._DIVIDE__CONQUER_ALGORITHMS_Week_1
- 人工智能，深度学习，神经网络，基础算法，适合学习的PPT /视频(Artificial intelligence)
Tools-master
- 制作训练数据的python文件，用于深度学习的训练(Python file for making training data)
DeepLearnToolbox-master
- MATLAB的深度学习工具包，可配置于2015版本以上的MATLAB，很有用(MATLAB's depth learning kit)
chapter_1
- tensorflow+python，21个项目玩转深度学习第一章的代码(tensorflow+python 21 projects based on tensorflow and python)
Convolutional-Neural-Network-master
- matlab，深度学习工具箱，经典的卷积神经网络，共有两层卷积层。输入为28*28*1的图片(Matlab, the deep learning toolbox, the classic convolution neural network, has two volumes of layers. A picture entered into 28*28*1)
机器学习算法PPT
- 机器学习课件 从基础入门到深度学习 很详细(Machine learning courseware)
rcnn_car_object_detection
- 基于深度学习的汽车目标检测，所需matlab版本为2017(Deep Learning Based Vehicle Target Detection)
Machine_Learning
- 包含了各种机器学习和深度学习的算法，大家互相学习(It contains all kinds of algorithms for machine learning and deep learning, and we learn from each other.)
基于深度学习的汽车目标检测
- 通过使用Matlab软件，实现了基于深度学习的汽车目标检测。(By using Matlab software, vehicle detection based on deep learning is realized.)
数据转存hdf5
- 可以在matlab上通过此代码讲深度学习的图像样本实现数据的hdf5转存(HDF5 transfer of data can be realized)
Neural-network-and-depth-study-notes
- 简单介绍神经网络基础知识和各重要深度学习流行模型，含有详细的数学推到公式。(A brief introduction to the basic knowledge of neural networks and the important depth of learning popular models, containing detailed mathematical push to the formula.)
DeepLearnToolbox-master
- matlab深度学习工具箱,包括cnn,dbn,SAE等(DeepLearnToolbox for matlab)
Exercise-dp-learning
- 深度学习例子，共五个，逻辑回归，线性回归等等(deep learning examples)
DeepLearnToolbox-master
- 深度学习的工具包 包含各种网络的使用及实例、、、、、(In-depth learning kit includes a variety of network usage and examples of,,,,,)
L-BFGS-B-C-master
- 基于梯度下降法的最优迭代算法，在深度学习和神经网络中应用非常广泛，也非常好用(The optimal iterative algorithm based on gradient descent method is widely used in depth learning and neural network, and it is also very useful.)
salience_object_detection-master
- 用深度学习框架Pytorch的图像语义分割(Image semantic segmentation using deep learning framework Pytorch)