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<p><strong>Abstract.</strong> The transient electromagnetic method (TEM) is extremely important in geophysics. However, the secondary field signal (SFS) in the TEM received by coil is easily disturbed by random noise, sensor noise and man-made noise, which results in the difficulty in detecting deep geological information. To reduce the noise interference and detect deep geological information, we apply autoencoders, which make up an unsupervised learning model in deep learning, on the basis ofdoi:10.5194/npg-26-13-2019 fatcat:hmczoru3fzc4tbrq22xhezih3u