![]() ![]() Random variations in brightness or color.Produced by a faulty or poor quality image sensor.Today, we’re going to take a deeper dive and learn how autoencoders can be used for denoising, also called “noise reduction,” which is the process of removing noise from a signal. Last week you learned the fundamentals of autoencoders, including how to train your very first autoencoder using Keras and TensorFlow - however, the real-world application of that tutorial was admittedly a bit limited due to the fact that we needed to lay the groundwork. Anomaly detection with Keras, TensorFlow, and Deep Learning (next week’s tutorial).Denoising autoenecoders with Keras, TensorFlow and Deep Learning (today’s tutorial).Autoencoders with Keras, TensorFlow, and Deep Learning (last week’s tutorial).Today’s tutorial is part two in our three-part series on the applications of autoencoders: ![]()
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