搜索资源列表
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 c
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, 3
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 fr a mework)
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
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 fr a mework is tensorfl
tensorflow_image_classifier-master
- tensorflow image classifier python
text-classification-cnn-rnn-master
- 使用TensorFlow实现中文新闻类别分类(Using TensorFlow to classify Chinese news categories)
ResNeXt-Tensorflow-master
- 是残差网络的延伸，已经存在的网络。内容是可以运行的。(An extension of a residual network is an existing program.)
tensorflow-CNN-CIFAR-10-master
- CNN实现图像数据的分类，有数据库下载代码(CNN implements the classification of image data, and there is a database download code)
DCGAN-tensorflow-master
- DCGAN实现高质量图像生成与分类，并增强了系统的稳定性与准确度(DCGAN enables high-quality image generation and classification, and enhances system stability and accuracy)