Implementation of the LMS and RNN code in Digital Signal Processor to see its realtime performance on input signals.
-
Updated
Nov 30, 2018 - C
Implementation of the LMS and RNN code in Digital Signal Processor to see its realtime performance on input signals.
Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.
STM32F429 Online handwritten character classification with Gated Recurrent Unit Neural Network
Application of NLP in Smart Essay Grading using Deep Learning
decompilation and static-analysis on the prevalent hermeticwiper
Add a description, image, and links to the gru topic page so that developers can more easily learn about it.
To associate your repository with the gru topic, visit your repo's landing page and select "manage topics."