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Name: Ed Frey
Type: User
Location: Xiamen, Fujian, China
Name: Ed Frey
Type: User
Location: Xiamen, Fujian, China
AlexeyAB-DarkNet源码解析
a simple code using tensorflow to fit high dimensional function
code to show F-Principle in the DNN training
Gluon CV Toolkit
1) Download the MNIST handwritten digit dataset. It contains 28X28 images. Flatten them into 784-dimensional binary vectors. Keep aside 20% data for testing and another 20% for validation. [1 mark] 2) Now, draw a random subset of 10 dimensions (out of 784). Based on these 10 dimensions only, build a decision tree (using library function). Maximum depth allowed: 5. Calculate accuracy of the tree on validation set. [2 mark] 3) Repeat this process for 50 random subsets like this, each of dimension 10.For each of them, build a decision tree of max. depth 5. Calculate accuracy on validation set. [2 marks] 4) Carry out weighted classification of the test set using these 50 decision trees, along with their validation accuracies as weights. Report the accuracy. [1 marks] 5) Starting with this ensemble as the initial classifier, implement Adaboost algorithm. At each stage, build a decision tree using entropy based on weighted examples as the heterogeneity measure of each node. Each tree will have maximum depth of 5. Maximum 20 iterations of Adaboost. [3 marks] 6) Using this ensemble, carry out classification on the test set and report accuracy [1 mark]
基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
practice on CIFAR10 with Keras
This repository is the implementation of several famous convolution neural network architecture with Keras. (Resnet v1, Resnet v2, Inception v1/GoogLeNet, Inception v2, Inception v3))
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM
Python code for common Machine Learning Algorithms
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
Models and examples built with TensorFlow
Implementation of: 1) simple CNN for MNIST 2) Alexnet and VGG16 net(from scratch as well as using pre-trained ImageNet weights) on Pascal VOC2007 dataset
Convert scans of handwritten notes to beautiful, compact PDFs
Python数据分析和机器学习练习
Python在GIS、RS中的实践
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Tutorials on deep learning, Python, and dissipative particle dynamics
Datasets, Transforms and Models specific to Computer Vision
yolo(all versions) implementation in keras and tensorflow 2.x
这是一个yolo3-tf2的源码,可以用于训练自己的模型。
Implementation of YOLO_v1 model with TensorFlow2
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.