资源列表
NatureDeepReview
- 深度学习允许由多个处理层组成的计算模型来学习具有多个抽象层次的数据表示。这些方法极大地提高了语音识别、视觉对象识别、目标检测以及药物发现和基因组学等许多领域的最新进展。深度学习发现复杂的结构在大数据集，通过使用反向传播算法来指示一台机器应该如何改变其内部参数，用于计算在每一层的代表性，从上一层的代表。深层卷积网在处理图像、视频、语音和音频方面取得了突破性进展，而递归网络则在文本和语音等连续数据上起到了作用。(Deep learning allows computational models th
Neural Animation
- the animation of neural network
perceptron
- 单层感知机解决逻辑与、或、非这样的线性可分问题。(Single layer perceptron solves the linear separable problem of logic and / or not)
multilinearreg
- 利用最小二乘法来对w和b进行估计。最小二乘法就是试图找到一条直线，使得所有样本到直线上的欧式距离之和最小。(The least squares method is used to estimate W and B. The least squares method is trying to find a straight line, so that the sum of Euclidean distance of all the samples to the line is minimum)
cnn
- matlab包，卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
溃疡病检测系统
- 本人的毕业论文，基于深度学习的柑橘溃疡病的检测技术，利用了深度学习的方法(My graduation thesis, based on the deep learning of citrus canker detection technology, using the depth of learning methods)
6434
- Transceiver contains two client programs, Much posture, multi-angle, have different light, Suppressed carrier type differential phase modulation.
Deep Learning
- 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)
语音识别概论
- 然语言处理方面的一本入门书，是中文的，而且使用python写的(However, an introductory book on language processing is in Chinese, and is written in Python)
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)
案例1 BP神经网络的数据分类-语音特征信号分类
- 利用BP神经网络的数据分类-——语音特征信号分类(Data classification using BP neural network -- Classification of speech feature signals)
BP神经网络的非线性系统建模-非线性函数拟合
- BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling of BP neural network nonlinear function fitting)