Beamforming is a particular method for sound source localization. However, in most of the relating researches, the intensity of the source is often ignored. Therefore, this research proposes a method of sound source localization and intensity estimation based on the residual network based on the conventional beamforming map, aiming to accurately predict the position and intensity of the point sound source. Acoular software is adopted to simulate time signals, the neural network is trained by the simulated signals, and the prediction model can be obtained then. It is verified by computer simulation whether the deep neural network can obtain an accurate description of a single point source from the microphone array data. The results show that the proposed method predicts the location and the intensity of the sound source fast and effectively. Moreover, the proposed method behaves better prediction effect for higher frequencies.