搜索资源列表
python_work
- 用tensorflow设计以三层的神经网络进行曲线拟合,采用梯度下降法。(Tensorflow is used to design three layers of neural network for curve fitting and gradient descent method.)
tensorflow-resnet-master
- ResNet在2015年被提出,在ImageNet比赛classification任务上获得第一名,因为它“简单与实用”并存,之后很多方法都建立在ResNet50或者ResNet101的基础上完成的,检测,分割,识别等领域都纷纷使用ResNet,Alpha zero也使用了ResNet,所以可见ResNet确实很好用。(ResNet was proposed in 2015 and won the first place in the classification task of ImageNe
keras_to_tensorflow-master
- 将keras的h5模型转换为tensorflow六月使用的checkpoint模型(Convert keras's H5 model to the checkpoint model used by tensorflow in June.)
Inception_V3(Transfer)
- 本算法实现了InceptionV3模型的迁移学习。训练好的inceptionV3模型可自行搜索下载.pb文件,数据集需为本地jpg图片。(Realization of full adder schematic diagram)
GAN-minist-tensorflow-master
- GAN 的基本例程,能够很好的帮助你理解生成对抗网络(The basic routines of GAN can help you understand how to generate confrontation networks.)
tensorflow-resnet-master
- 残差神经网络的代码,可以用,非常好,,,,,,。(resual CNN about deep learning ,very good.........................)
Tensorflow CNN
- 卷积神经网络识别手写数字,放在jupyter直接跑,99%识别率,已经和Tensorboard联通好了(Convolutional neural network recognizes handwritten numerals and runs directly on jupyter. The recognition rate is 99%. It has been connected with Tensorboard.)
跨模态文字检索图片102花卉数据
- 跨模态检索 tensorflow实现,使用googlenet处理图片,char-cnn处理文字,使用triple-loss训练(Tensorflow is implemented by cross-modal retrieval, using Google eNet to process pictures, char-cnn to process text, and triple-loss training)
input_data_注解版.py
- 这是深度学习tensorflow框架中数据获取常用库input_data的源码,并且添加了注释。
tensorflow-infogan-master
- 很好的GAN安装包,包含平台版本配置需求及操作说明(A good example of GAN, including platform version configuration requirements and operation instruction)
Intelligent-monitoring-platform
- 智能监控平台的网站服务基于Flask开源框架,图像识别与信息提取功能则基于cv2和tensorflow等一系列相关的第三方库。以网页的形式进行人脸识别、目标检测、目标跟踪等,并且可以存储相关的操作记录、用户登录、管理员登录(Intelligent monitoring platform's website service is based on Flask open source framework, while image recognition and information extract
lstm
- 实现一多维时序数据的预测,相关参数可自行修改(Realization of prediction of multidimensional time series data)
tensorflow-vgg16-train-and-test-master
- vgg深度学习,图像识别,用于图像的分类,在python上运行(vgg deep learning, image recognition, used for image classification, running on Python)
tf_stock_1
- 利用lstm预测股票接下来100个时刻的股价,并作图(Using LSTM to Predict Stock Price)
ac_gan_pytorch
- tensorflow框架下的AC-GAN源码(Source code of AC-GAN)
Deep Learning with Python
- 深度学习基本算法,深度学习with python作为标题建议介绍深度学习使用Python编程语言和开源Keras库,它允许简单快速的原型设计。 在Python深度学习中, 你将从一开始就学习深度学习,你将学习所有关于图像分类模型,如何使用深度学习获取文本和序列,甚至可以学习如何使用神经网络生成文本和图像。 本书是为那些具有Python技能的人员编写的,但你不必在机器学习,Tensorflow或Keras方面有过任何经验。你也不需要先进的数学背景,只有基础的高中水平数学应该让你跟随和理解核心
Tensorflow+实战Google深度学习框架
- 神经网络相关书籍,可以把其作为初学神经网络人士的课本,上面有一些关于神经网络很基础的知识(Neural network related books, which can be used as textbooks for beginner neural network people. There are some basic knowledge about neural networks.)
object_detect.py
- 使用CNN检测目标 基于Tensorflow目标检测API(Uses CNN to detect objects. Based on Tensorflow Object Detection API)
04.CNN处理CiFar
- 以python语言为基础,利用tensorflow机器学习架构,两层卷积神经网络实现,CiFar数据集图片分类功能。(Based on Python language, using tensorflow machine learning architecture, two-layer convolutional neural network, CiFar data set image classification function.)
moblienetV3
- 基于moblieNetV3的tensorflow实现的YOLO V3,里面有训练测试代码。