搜索资源列表
Java_Fundamental_bab1
- Bagian ini akan membahas dasar – dasar komponen dari komputer meliputi hardware (perangkat keras) dan software (perangkat lunak). Kami juga akan menyertakan gambaran global tentang bahasa pemrograman dan sirkulasi pe
CNN
- 此代码是对卷积神经网络用于手写字体识别的实现,程序是基于theano库开发的,并且用到了集成化模块keras,方便我们构建自己的网络结构,很好的解决分类问题-This code is the convolution neural network for handwritten character recognition, the program is based on the theano library development, an
mnist_cnn
- 基于keras的python的卷积神经网络,对数据库minis进行的分类。希望大家喜欢-The python based keras convolution neural network to perform minis category. I hope you like
mnist_irnn
- 基于keras的python的循环神经网络rnn,对数据库minis进行的分类。希望大家喜欢-Based keras the python loop neural network rnn, minis conduct classification. I hope you like
mnist_mlp
- 基于keras的python的深度学习多层感知机MLP,对数据库minis进行的分类。希望大家喜欢-Based keras deep learning of the python MLP MLP, classification minis conducted. I hope you like
mnist_transfer_cnn
- 基于keras的python的转换的卷积神经网络,对数据库minis进行的分类。希望大家喜欢-Based on Convolution neural network keras of python conversion, minis conduct classification. I hope you like
paper
- 后面几篇是关于神经网络RNN以及实体识别相关的影响较大的文献,前面一个是使用keras平台搭建RNN神经网络模型时训练模型写的代码- Behind several neural network RNN entity recognition and greater impact on the relevant literature, in front of a platform built using keras when RN
VGG-16
- 深度神经网络VGG-16模型的keras代码,用于图像识别-keras codes of deep neural network VGG-16 model, used of image classification
Autoencoders
- 深度学习中有关自编码器的一些代码,需要安装Keras-some autoencoder models wrote in python
weakly_detector_keras
- 实现weakly-dectection,显示网络对于图片感兴趣的区域(hot-map)(implementaion of weakly-dectection)
pix2pix
- 实现论文pix2pix,目前在数据集上CMP_facade测试(implementation of pix2pix,now is testing on CMP_facade dataset)
WGAN-in-Keras-master
- 基于minist手写数据的最新的WGAN实现方法(The latest method of WGAN implementation)
train_1
- 用U-net进行脑部图像多类分割,用keras框架进行实现(U-net brain segmentation keras tensorflow background)
Essay
- using KERAS in python and CNN to get modualtion classification
unet
- 对图片进行纹路切割。基于Keras,实现神经网络的图片训练(Based on Keras, the picture is cut in pattern, and the picture training of the neural network is realized.)
autocode
- 在高斯噪声下,使用深度学习进行符号调制,画出星座图(Under Gauss's noise, we use deep learning to make symbol modulation and draw a constellation)
lenet_test
- 包含mnist数据集的lenet例子,快速训练部分数据,达到85%的准确率(A lenet example that contains the MNIST dataset to quickly train part of the data to reach a 85% accuracy rate)
alexnet_test
- 因上传文件大小的限制,仅包含了cifar10部分数据集,将32*32*3扩展到227*227*3,然后完全使用alexnet,短时间训练,可达75%的准确率(Due to the limitation of uploaded file size, it contains only part of cifar10 data set, extends 32*32*3 to 227*227*3, and then uses alexnet c
程序源码
- 基于CNN的手势识别,可识别五种手势,拳头,手掌,比V,OK,还有空。要求环境:opencv,keras,theano,python2.7(CNN based gesture recognition can identify five kinds of gestures, fist, palms, than V, OK, and empty. Requirements for the environment: opencv, keras
Deep Learning with Python-Manning
- 深入学习Python介绍领域的深入学习使用Python语言和强大的Keras图书馆。通过keras创造者和谷歌人工智能研究者弗兰?ois Chollet写的,这本书让你了解通过直观的解释和实例。您将探索具有挑战性的概念和实践与计算机视觉,自然语言处理和生成模型的应用程序。当你完成学业的时候,你将具备在自己的项目中应用深度学习的知识和动手能力。(Deep Learning with Python introduces the field