搜索资源列表
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
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)
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)
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)
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)
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
Shanghai-Au-Futures-master
- 上海房价预测，实现为 python + keras + tensorflow，包含数据文件(Shanghai house price prediction is implemented as Python + keras + tensorflow, including data files)
tensorflow预测代码
- tensorflow预测代码，实现对图片的分类处理，合理处理进行分类(tensorflowThe prediction code realizes classification and classification of pictures, and classifies them reasonably.)
tensorflow-mnist-predict-master
- 这个项目由四个脚本组成： 1. _create_model_1.py_ - 基于初学者教程创建一个模型model.ckpt文件。 2. * create_model_2.py * - 基于专家教程创建模型model2.ckpt文件。 3. * predict_1.py * - 使用model.ckpt（初学者教程）文件来预测.png文件中手写数字的正确整数。 4. * predict_2.py * - 使用model2.ckpt（专家教程）文件来预测.png文件中手写数字的正确整数。
TensorFlow股票预测
- 利用TensorFlow和股票历史数据，进行数据挖掘，深度学习建模，实现对股票未来走势的预测(Using TensorFlow and stock historical data, data mining and deep learning modeling are used to predict the future trend of stocks.)
seq2seq样例
- tensorflow框架下的交叉熵计算代码，序列到序列预测实例代码(Cross entropy calculation code, sequence to sequence prediction code)
SVM_tensorflow-master
- SVM通过tensorflow训练iris数据集，寻找最优参数，使误差最小化(SVM trains iris data set through tensorflow to find the optimal parameters and minimize the error.)
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)
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)
tensorflow预测产品价格
- 使用tensorflow进行预测，通过市场销量等数据预测产品的价格
RNN_股票预测
- 基于python语言，tensorflow框架，通过rnn循环神经网络实现对茅台酒开盘价的预测(Based on Python language and TensorFlow framework, the prediction of opening price of Moutai wine was realized through RNN circulating neural network)
DBN
- 基于Tensorflow的典型深度学习模型-深度置信网络预测程序，方便拓展，测试文件在test文件夹下(The typical deep learning model based on tensorflow deep confidence network prediction program is easy to expand, with case data attached, and the test file is in the test folder)