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Name: 王利涛
Type: User
Company: Yan Shan University
Name: 王利涛
Type: User
Company: Yan Shan University
This is the code for"A Guide to Running Tensorflow Models on Android" By SIraj Raval on Youtube
Native Android application for activity detection that users accelerometer, gyroscope, and heartrate data from MS Band 2 to detect activities.
Sensor Data Mining and Activity Recognition Using Cellphone Accelerometer
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
App behavior identify
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.
Essential Cheat Sheets for deep learning and machine learning researchers
Using cifar-10 datasets to learn deep learning.
A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences
Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data.
Convolutional and LSTM networks to classify human activity
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep Learning Tutorial with Keras and Tensorflow - Invited Speaker @ Python San Sebastian 2016
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Deep Learning Book Chinese Translation
:books: 免费的计算机编程类中文书籍,欢迎投稿
Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
human activity recognition with martphone sensors
An application to collect and save sensor data on Android Smartphones
Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.
Convolutional Neural Network for Human Activity Recognition in Tensorflow
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.
General code to convert a trained keras model into an inference tensorflow model
Save keras weight matrices as short animated videos during training
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.