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a_guide_to_running_tensorflow_models_on_android

This is the code for"A Guide to Running Tensorflow Models on Android" By SIraj Raval on Youtube

activity-detection

Native Android application for activity detection that users accelerometer, gyroscope, and heartrate data from MS Band 2 to detect activities.

activity-monitor-project

activity-recognition

Sensor Data Mining and Activity Recognition Using Cellphone Accelerometer

android-sensor-data-collection

androidtensorflowmnistexample

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

app_action

App behavior identify

awesome-deep-learning-resources

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.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cifar-10-cnn

Using cifar-10 datasets to learn deep learning.

danq

A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences

deep-learning-for-sensor-based-human-activity-recognition

Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data.

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-keras-tensorflow-pyss2016

Deep Learning Tutorial with Keras and Tensorflow - Invited Speaker @ Python San Sebastian 2016

deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dl

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

fttl-with-keras

Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras

har

har-stacked-residual-bidir-lstms

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.

har-with-smartphone-sensors

human activity recognition with martphone sensors

human-activity-recognition

An application to collect and save sensor data on Android Smartphones

human-activity-recognition-smartphone-sensors

Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.

human-activity-recognition-using-cnn

Convolutional Neural Network for Human Activity Recognition in Tensorflow

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

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.

human_activity_recognitionv

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

keras_weight_animator

Save keras weight matrices as short animated videos during training