搜索资源列表
basic_seq2seq2
- 基于tensorflow的字符预测问题的seq2seq代码实现，附教程和数据(Seq2seq code implementation of tensorflow based character prediction problem, tutorials and data)
keras_mnist_test
- hello Word of keras ,第一个成功实现的卷积神经网络,下载了mnist数据集,并decode,,然后,为了加快速度,训练其中的一部分数据,并用predict测试,ok,2min内出结果.(网上其它程序试过,训练太久,一晚上都没训练出结果,于是自己动手设计了这个小程序) 环境:python3.6,keras2.1,PC i5(很破的电脑)(Hello Word of keras, the first successful convolution neural network,
python神经网络求解农产品需求预测
- 使用BP神经网络预测农产品的需求，论文在知网上应该就一篇。(Using neural network to predict the demand of agricultural products)
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 completely, and training for a
代码
- 实现实时人脸检测tensorflow，dlib(Real time face detection tensorflow, Dlib)
Machine Learning Mastery with Python
- 各种机器学习算法的Python优雅实现，尤其是深度学习部分，应用到了TensorFlow(Python elegant implementation of various machine learning algorithms)
audio_java
- python提取的乐器MFCC特征，调用TensorFlow 接口预测音频类别(Python extraction of the musical instrument MFCC features, calling the TensorFlow interface to predict the audio category)
LeNet
- tensorflow实现手写体识别（包含mnist数据集）(Handwritten recognition by tensorflow)
Char-RNN-TensorFlow-master
- 使用深度学习 RNN循环神经网络，lstm实现余弦预测(lstm to predict sine)
testandtrain
- 利用三层卷积神经网络识别信号星座图，准确识别8psk，16psk，32psk，64qpsk四种调制方式，在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
Tensorflow 实战Google深度学习框架
- 深度学习框架，适合人工智能学习以及刚入门的知识普及(Deep Learning Framework)
归档
- 神经网络拟合函数，DNN神经网络，TensorFlow(DNN function, using Tensorflow to conduct it)
tensorflow_template_application-master
- 机器学习基本练习，基于tensorflow的一个实现例子，用于帮助初级学者理解实现(basic test for machine learning, an example of tensorflow, help the beginners to understand)
complex
- Example to use complex functions
Reinforcement-learning-with-tensorflow-master
- 各种强化学习代码，强化学习(reinforcement learning)，又称再励学习、评价学习，是一种重要的机器学习方法，在智能控制机器人及分析预测等领域有许多应用。(Reinforcement learning (reinforcement learning), also known as reinforcement learning and evaluation learning, is an important machine learning method. It has many
TensorFlowv1.2
- google开发的python深度学习框架的官方手册，中文版。(tensorfloe user guide in chinese)
Deep_Neural_Network_Python
- Scalability Approach to Convolutional Neural Networks
writingMaster
- 实验室项目。识别用户签名和汉字草书，效果较好。基于卷积神经网络实现。框架是tensorflow。原创代码初次公开。(Laboratory project. The recognition of user signature and Chinese scr ipt is good. Based on convolution neural network implementation. The framework is tensorflow. Original code for the first
tensorflow_image_classifier-master
- tensorflow image classifier python