搜索资源列表
DeepLabV3-Tensorflow-master
- Deeplabv3 实现语义分割，可以实现标准库21个分类目标识别(Deeplabv3 segmentation)
sequence_gan
- TensorFlow实现自然语言处理，基于梯度策略算法(Use TensorFlow to deal with the Natural Language Processing)
alexnet
- alexnet网络结构，基于python语言下的tensorflow框架(The network structure of alexnet)
dbn_tf-master
- 利用深度置信网络实现对mnist数据集的分类(sort out the set of mnist with DBN)
mytensorflow
- tensorflow学习笔记，其中包含了几总分类器，和tensorflow框架的部分具有代表性的代码(Tensorflow learning notes, which contain several general classifiers, and some representative codes of the tensorflow framework.)
张哲_017034910051_03
- 基于tensorflow的手写数字识别，MLP和CNN对比(the compare between MLP and CNN in Handwriting recognition.)
Machine Learning with TensorFlow
- 机器学习 人工智能 决策树 随机森林 机器学习 人工智能 决策树 随机森林(machine learning tensor flow intelligent artifish)
bicycle_tf
- 使用tensorflow实现的四层神经网络，并将网络节点参数进行储存(a neural network by python)
EDSR-Tensorflow-master
- 单张图像超分辨率研究，2017最新算法，获得单张图像超分挑战赛最好结果(Single image super resolution is a very important computer vision task, with a wide range of applications)
VGG19_with_tensorflow-master111
- 卷积神经网络,vgg19利用TensorFlow实现VGG19(cnn Convolution neural network, vgg19 realized vgg119 by tensor flow)
白话深度学习与TensorFlow
- 简洁的讲解了深度学习的原理及编程实践m,详细的讲解了深度学习的原理。(This is deep learning.)
convolutional-pose-machines-tensorflow-master
- 人体骨骼的关键点提取，总共十四个点，使用卷积神经网络。(The key points of human skeleton are extracted from a total of fourteen points using convolutional neural networks.)
chapter_1
- tensorflow+python，21个项目玩转深度学习第一章的代码(tensorflow+python 21 projects based on tensorflow and python)
mnist分类
- mnist分类，python，tensorflow，深层神经网络(MNIST classification, python, tensorflow, deep neural network)
TensorFlow Machine Learning Cookbook
- 机器学习入门平台，谷歌公司的机器学习平台说明，对机器学习初学者比较实用(Machine learning platform, Google Corporation's machine learning platform descr iption, for machine learning beginners more practical.)
poetry_generator_Keras-master
- 使用LSTM算法写的唐诗生成，编程语言使用的Python。(Using LSTM algorithm to generate Tang poetry, the Python used in programming languages.)
Mine_CNN_MNIST
- 深度学习的部分经典模型，tensorflow1.4，python3.5，有AlexNet，LeNet等(Part of the classic model of deep learning, tensorflow1.4, python3.5, with AlexNet, LeNet, etc.)
垃圾分类
- 利用inceptionv3模型进行训练完成垃圾分类(Use the inceptionv3 model to train to complete garbage classification)
机器学习
- 用于红酒分类，机器学习，用tensorflow，人工智能小白(For wine classification, machine learning)
ALEXNET
- 搭建的一个AlexNet的网络结构，包含原始AlexNet的最基本结构，使用的数据集为mnist，所以对其中的参数做出较小的修改，搭建网络方式比较典型，可根据范例结构自行扩展（包括原始mnist数据）(Build an AlexNet network structure, including the most basic structure of the original AlexNet, using a data set of mnist, so the parameters of the s