A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles

Figure 4

Deep autoencoder. An autoencoder consists of an encoder network, which transforms the original input data into a low-dimensional code, and a decoder network, which reconstructs the data from the code.