deep_learning_course

In this repository, I host reproducible notebooks and pdf that will take you through the steps in understanding machine learning concepts useful for agricultural economists and environmentalists alike. Specifically the course covers:

• 0_Machine Learning ==> Classical machine learning for an invasive weed monitoring in Uganda.
• 1_Introduction ==> Basic introduction to deep learning.
• 2_Tensors ==> Introduction to tensors that are invaluable data structures for deep learning.
• 3_PyTorch ==> Introduction to PyTorch with end-to-end model workflow.
• 4_Geospatial_Data ==> Introduction to Geospatial Deep Learning using torchgeo