A fault-tolerant quantum computation requires an efficient means to detect and correct errors that accumulate in encoded quantum information. In the context of machine learning. neural networks are a promising new approach to quantum error correction. Here we show that a recurrent neural network can be trained. https://safeersappliancers.shop/product-category/chrome-lpg-convertible-kenwood-ck307g-90-cm-dual-fuel-range-cooker-black/