===================================================================== = Program to eliminate noise using autoencoder = = Ver.1.00 = = CONTEC Co., Ltd. = ===================================================================== - Contents ======= Introduction Notes Folder structure Version-up History - Introduction =========== Thank you for purchasing this product. Here is a supplementary explanation about the sample program introduced in the technical column. Please refer to the following URL for the explanation of this sample program. https://www.contec.com/support/blog/2023/230522_python-ai/ - Notes ========== This sample is a sample program that performs unsupervised learning of an autoencoder using a Python program that eliminates the loaded noise using a data set in which pseudo noise is added to the sine wave data sampled with the following configuration. Devices for verification Edge AI computer DX-U1100P1-2E0211 + Analog input board AI-1616L-LPE Language used Python3.10 Library used Libraries used: tensorflow, keras, etc. - Folder structure ================== |______ noisefilter.py Program to eliminate noise using autoencoder |______ samplingdata.csv Sampling data used in the sample code |______ samplingtestdata.csv Sampling data with added noise used in the sample code - Version-up History ======================= Ver.1.00 (2023/05/16) ---------------------------------------- - First release