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

<div>A generic example of a Convolutional Neural Network model. The usual architecture alternates convolution and subsampling layers. Fully connected neurons are used in the last layers.</div>

Journal of Sensors

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Figure 2: A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles 