Today, artificial intelligence and its various parts and tools are used in many branches of engineering, basic sciences, humanities and arts. In this paper, the application of one of the newest tools of artificial intelligence, namely deep learning in various parts of seismic data interpretation has been studied. This study provides three examples of the use of deep learning machines or neural networks in the interpretation of seismic data. First, the identification of the lithology is expressed using convolutional neural network and seismic data. The identification of salt domes is then introduced using convolutional neural network and seismic data. Finally, the identification of gas chimneys on seismic data using the perceptron neural network is explained.