搜索资源列表
deeplearning
- Python 深度学习 deep learning-Python deep learning
Deep_MNIST_for_Expert
- 利用深度学习进行数字分类,分类的正确率非常高。(Using deep learning method to classify digit numbers)
g13tsr
- 机器学习启蒙实战学习源码，回归模型，分类模型，聚类和相似度模型，推荐系统，深度学习等学习代码。(Machine learning, practical combat learning source,regression model, classification model, clustering and similarity model, recommendation system, depth learning and other
上海理工大学+US!+基于微信的图像识别系统
- 一个可在微信端使用的深度学习的图像识别程序，使用keras开发，文件内包含训练集下载方式。(A deep learning in WeChat use of the image recognition program, using keras development, the document contains the training set, Download methods.)
keras-master
- keras的Demo，深度学习入门级代码。(The demo of keras. It's the basic code for deep learning.)
Practice_03
- 深度学习,基于python的机器学习，包括挖掘之类(deep learningDepth learning, Python based machine learning, including mining and the like)
LSTM_learn-master
- 采用LSTM算法用python语言实现的信号时间序列预测，可预测信号的占用度(The LSTM algorithm is used to predict the signal time series in python language)
sourceCode
- 用python 语言结合DNN简单实现语音增强(DNN speech enhancement)
vgg16
- 在使用深度神经网络时我们一般推荐使用大牛的组推出的和成功的网络。如最近的google团队推出的BN-inception网络和inception-v3以及微软最新的深度残差网络ResNET。(In the use of deep neural network we generally recommend the use of cattle group launched and successful network. Such as the
Program3-RanShu
- 实现决策树算法 深度学习 。。。。。。。。。。。(decision tree learning)
TensorFlow教程
- Tensorflow编程教程，深度学习技术基础(Tensorflow programming tutorial)
scipy-1.0.0-cp27-none-win32.whl
- for python2.7 用于计算机深度学习，被sklearn依赖(For computer deep learning, is sklearn dependent)
DeepLearning_tutorials-master
- 深度学习工具包，内含多种CNN 算法，实验采用PYTHON为主要编程语言(The deep learning toolkit contains many CNN algorithms. PYTHON is used as the main programming language in the experiment.)
深度学习入门之PyTorch
- 学习pytorch基础一本好书，中文，简单易懂，值得入手(Learning Pytorch basic is a good book, Chinese, simple and easy to understand, it is worth starting with.)
A-机器学习
- 2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/Python/面试笔记(Machine Learning // Python / interview notes)
StockPricePrediction-master
- python深度学习股票分析框架，就这么多了(python learning stock)
pytorch-openpose-master
- 本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000 This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning fr a mewo
深度（多层）极限学习机的python实现
- 深度极限学习机也叫多层极限学习机，ML-ELM。是黄广斌等人在极限学习机ELM基础上，将其拓展为深度学习的一种模式识别方法，原文文章：Representational learning with extreme learning machine for big data。(The deep extreme learning machine is also called the multi-layer extreme learning m
Deep-Learning-in-Python-master
- 用于深度学习 循环神经网络等，方法是分类与回归(Classification and regression of deep learning)
深度学习入门：基于python的理论与实践
- 本书是深度学习真正意义上的入门书，深入浅出地剖析了深度学习的原理和相关技术。书中使用Python3，尽量不依赖外部库或工具，从基本的数学知识出发，带领读者从零创建一个经典的深度学习网络，使读者在此过程中逐步理解深度学习。书中不仅介绍了深度学习和神经网络的概念、特征等基础知识，对误差反向传播法、卷积神经网络等也有深入讲解，此外还介绍了深度学习相关的实用技巧，自动驾驶、图像生成、强化学习等方面的应用，以及为什么加深层可以提高识别精度等“为什