搜索资源列表
detection
- 神经网络 孤立词语 特定人 深度学习 语音识别-Neural network isolated words deep learning particular person voice recognition
neutral-network-tensorflow
- 使用tensorflow实现几类深度学习，如卷积神经网络、自回归神经网络、动态神经网络等-Use tensorflow to achieve several kinds of deep learning, such as convolution neural network, recurrent neural network, dynamic neural network
nature-deep-learning
- 世界顶级杂志《自然》，针对人工智能的深度学习进行的最全面综合论述，以及对未来深度学习及神经网络的发展预测，值得一读！-The world s top magazine nature , for the depth of artificial intelligence to learn the most comprehensive exposition, as well as the future development of deep learning and neural network p
BP-network
- 机器学习20讲之BP神经网络源码,含手写数据库-the code of BP network for 20 section machine learning
Face-Detection
- 在机器学习中，使用伽柏特征提取和神经网络来进行人脸检测。 -Face Detection using Gabor feature extraction and Neural Network
deep-learning
- 深度学习主要通过人工神经网络的思想发现数据的分布式特征表示-Deep learning discovers the distributed representation through artificial neural network.
CNN
- CNN 卷积神经网络，是深度学习的理论基础，能帮助加深对深度学习的认识.-CNN is the basis of deep learning. It can help researches to get better understanding of deep learning.
SS-US-ELM
- 神经网络极限学习机的一种改良算法，性能提升明显，非常难找-Neural network ——extreme learning machine, a kind of improved algorithm， the performance increase obviously, very hard to find
main
- BP神经网络拟合多峰函数示例，仅供新手学习使用-BP neural network function fitting multimodal example, only for the novice learning to use
zh_cnn_text_classify-master
- 基于卷积神经网络(CNN)的中文垃圾邮件检测，很好的学习程序，基于python开发，需要配置Tensorflow。-Based on convolutional neural network (CNN) of Chinese spam detection, good learning program, python-based development, you need to configure Tensorflow.
NN_tutorial
- 人工神经网络是深度学习的基础，并在图像识别上应用非常多。本代码内容是一个经典的BP网络，S1和S2分别表示中间层和输出层的神经元个数，学习3幅不同类型的图像并输出。-Artificial neural networks are the basis of deep learning and are used in image recognition. The contents of this code is a classic BP network, S1 and S2, respectively
sui_gn32
- BP神经网络用于函数拟合与模式识别，保证准确无误，是学习通信的好帮手，从先验概率中采样，计算权重。- BP neural network function fitting and pattern recognition, Ensure accurate communication is learning a good helper, Sampling a priori probability, calculate the weight.
cnnyuanma
- 神经网络控制的matlab实现方法，可以学习神经网络的实现-Neural network control matlab implementation method, you can learn the realization of neural networks
BP
- BP神经网络经过训练与学习，逼近非线性函数(BP neural networks are trained and studied to approximate nonlinear functions)
network Simon Haykin
- 神经网络与机器学习，第三版： 神经网络是计算智能和机器学习的重要分支，在诸多领域都取得了很大的成功。在众多神经网络著作中，影响最为广泛的是这本书。(Neural networks and machine learning: Third Edition: neural network is an important branch of computational intelligence and machine learning, and has achieved great success in
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)
mohu
- 一个比较基本的模糊神经网络，适合新手学习(A relatively basic fuzzy neural network program)
train-labels-idx1-ubyte
- 用于手写数字识别的训练数据（标签） 数据格式：前32位为2049，再32位为数据数量，之后每一位都是标签值(Training data (tags) for handwritten digit recognition)
t10k-labels-idx1-ubyte
- 用于手写数字识别的预测数据（标签） 数据格式：前32位为2049，再32位为数据数量，之后每一位都是标签值(Predictive data (tags) for handwritten numeral recognition)
train-images-idx3-ubyte
- 用于手写数字识别的训练数据（图片） 数据格式：前32位为2049，再32位为数据数量，再32位为图片宽度M，再32位为图片高度N，之后每N*M位都是图片的像素值(Training data (pictures) for handwritten digit recognition)