搜索资源列表
tensorflow
- 讲解了tensorflow的简单应用与学习，快速熟悉tensorflow-Explain the simple application of tensorflow and learning, familiar with tensorflow quickly
MNIST(tensorflow)
- 基于tensorflow的手写识别，训练后可以识别手写数字-Based on tensorflow handwriting recognition, training can identify handwritten numbers
Deep-Learning-TensorFlow-master
- tensorflow,深度学习框架，图像处理(Tensorflow, deep learning framework, image processing)
SRCNN-Tensorflow-master
- 超分辨率重建 TensorFlow 实现 基于卷积网络(super resolution based on convolution network using tensorflow framework)
TensorFlow-Examples
- tensorflow项目demo，用于初学者学习tensorflow(tensorflow examples for learners)
TensorFlow实战代码
- 经典书籍《TensorFlow实战》源码，详细讲解TensorFlow在深度学习中的实践。(TensorFlow code, It is very useful for you to learn TensorFlow.)
MTCNN-Tensorflow-master
- 基于tensorflow的mtcnn人脸关键点检测(tensorflow mtcnn face_landmarks)
TensorFlow Machine Learning Cookbook+code
- 使用tensorflow进行机器学习开发的使用手册(the handbook based on tensorflow with python)
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.)
TensorFlow
- TensorFlow深度学习入门学习与实战(The introduction of deep learning and the real battle)
tensorflow-master
- Tensorflow源代码，可以很好的理解深度学习的运行机制，帮助更好的实现分类与回归算法。(Tensorflow source code, can be a good understanding of the operation mechanism of in-depth learning, to help better achieve classification and regression algorithm.)
TensorFlow tf.data 导入数据（tf
- tensorflow 数据集的建立方法与实战应用 数据集建立的四种方法 技巧和需要注意的关键点(Tensorflow data set establishment method and practical application Data set four methods Tips and key points to pay attention to)
tensorflow
- tensorflow的简单应用与入门学习，快速上手tensorflow(Tensorflow's simple application and entry learning, quick start tensorflow)
win10配置tensorflow gpu版不用装CUDA
- 这是本人写的一篇安装tensorflow的方法，用于win10系统，gpu版(This is an article written by myself for installing tensorflow gpu version.)
深度学习之TensorFlow：入门、原理与进阶实战
- 该压缩文件是《深度学习之Tensorflow的入门、原理及进阶实战》，里面讲述了如何搭建TensorFlow环境，并讲述了深度学习的一些理论基础知识，而且通过例子进行辅助，能更好的理解掌握。(The compressed file is "Introduction, Principle and Advanced Combat of Tensorflow for Deep Learning", which describes how to set up the TensorFl
tensorflow
- 利用tensorflow对mnist数据集进行分类(classify the mnist dataset by tensorflow)
机器学习实战：基于Scikit-Learn和TensorFlow
- 基于scikit-learn和tensorflow的机器学习实战教程(Machine Learning Practical Course)
分布式tensorflow
- 1.使用distribute.py在分布式tensorflow中进行训练mnist模型 2.使用mnist_test.py进行测试模型，获取输出结果(1. Training MNIST model in distributed tensorflow using distribute.py 2. Use mnist_test.py to test the model and get the output results)
TensorFlow for Deep Learning - 2018
- 机器学习 tensorflow，从入门到精通，案例实战(machin learn tensorflow)
tensorflow-convlstm-cell-master
- Tensorflow实现LSTM，Python代码用命令行安装setup文件(Tensorflow implements LSTM, Python code installs setup file with command line)