This workshop aims to introduce Deep Learning for satellite imagery and geospatial data. The workshop will focus on hands-on computer labs that will introduce concept and methods used in Deep Learning using python and Keras. In particular, we will increase complexity of Deep Learning Neural Network architecture by exploring first Dense Neural Network, Convolutional Network for classification and the encoder-decoder structure (U-net). Example applications may include Land use/Land cover, image classification labeling and semantic segmentation.
Participants can expect to learn about pipeline steps used to develop Deep Learning network and various associated concepts.
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