搜索资源列表
AlexNet
- 基于AlexNet模型的手写数字识别，用Tensorflow实现，可直接运行，准确率达到98 以上-Model based AlexNet handwritten digit recognition, implemented Tensorflow, can be run directly, the accuracy rate of more than 98
CNN
- 用卷积神经网络实现的手写数字识别（minst）,可直接运行，识别率较高。用Tensorflow实现-Handwritten digital recognition (minst) with convolution neural network can be run directly and the recognition rate is high. Implemented with Tensorflow
ann
- 用简单神经网络(CNN)实现的手写数字识别(minst),可直接运行，用的是Tensorflow框架，通过该例程可以掌握Tensorflow基本用法-With a simple neural network (CNN) to achieve the handwritten numeral recognition (minst), can be run directly, using the Tensorflow framework, through the routine can master
NLP
- Tensorflow框架下的手写数字识别-In recognition of handwritten numerals frame Tensorflow
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.
contracttensors.rar
- 任意阶张量相乘 比如说 T2*2*2*4 与T2*2*2*4 相乘 得到T2*2*2*2*2*2(TensorFlow A tensor of any order, such as T2*2*2*4 and T2*2*2*4, is multiplied by T2*2*2*2*2*2)
Desktop
- 利用tensorflow建立以个用于面部表情识别的模型(Using tensorflow to build a model for facial expression recognition)
Faster-RCNN_TF-master (2)
- 机器学习 关于 faster r-cnn 进行object detection(This is an experimental Tensorflow implementation of Faster RCNN - a convnet for object detection with a region proposal network. For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Tim
YOLO_tensorflow-master
- 基于TensorFlow平台下的YOLO算法，可用于目标检测(YOLO algorithm based on TensorFlow platform, which can be used for target detection)
Tensorflow 实战Google深度学习框架
- 介绍了深度学习的起源，发展，用于文字和图像的实践。(This paper introduces the origin and development of deep learning and its application in text and image.)
Deep_MNIST_for_Expert
- 利用深度学习进行数字分类,分类的正确率非常高。(Using deep learning method to classify digit numbers)
mnist
- tensorflow demo of mnist by python
word2ve_embedding
- tensorflow of word 2ve by python
faceRecognition-master
- 基于python+opencv+cnn的人脸识别的学习demo(Study demo of face recognition based on python + opencv + CNN)
mnist.pkl代码原文
- BP算法的实现，其中的手势识别，用python语言，在tensorflow下！(Implementation of BP algorithm)
ImageProcessing-master
- 将图片读入python转化为tensorflow能识别的二进制文件(the transfer from a picture to Binary file in python)
insuranceQA-cnn-lstm-master
- 这是一个保险语料的一个简单的问答系统，采用cnn和lstm分别进行试验，分别验证效果的改变，文件包括两个版本，tensorflow和theano。(This is a simple question answering system for insurance corpus, which is tested by CNN and LSTM respectively, and the results are verified separately. The document consists of
social-lstm-tf-master
- social lstm tensorflow
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)
boston
- 通过scikit-learn库利用tf.contrib.learn函数生成三层神经网络模型直接对读入数据进行训练并且对于数据可以进行预测。(Through the scikit-learn library, the tf.contrib.learn function is used to generate three layers of neural network model, and the data is trained directly, and the data can be pred