Udemy Geospatial Ai Deep Learning For Satellite Imagery

Udemy Geospatial Ai Deep Learning For Satellite Imagery
     Get Bonus Downloads Here.url -


     1 - Welcome and Course Overview.html -


     2 - Introduction to Geospatial Analysis.mkv -


     3 - Introduction to Artificial Intelligence.mkv -


     4 - Why Python is the Top Choice for AI.mkv -


     5 - Overview of Deep Learning in Geospatial Applications.mkv -


     6 - StepbyStep Guide to GPU Setup.mkv -


     10 - Running PyTorch Models in the Cloud.mkv -


     11 - Saving and Sharing Colab Notebooks.mkv -


     7 - Introduction to Goggle Colab.mkv -


     8 - Setting Up Google Colab for AI Projects.mkv -


     9 - Running TensorFlow Models in the Cloud.mkv -


     12 - Calculating Geospatial Indices.mkv -


     13 - Import and Clean Datasets in Jupyter Notebook with Pandas.mkv -


     14 - Calculate-zonal-statistics-1.ipynb -


     14 - Chirps-Erbil.tif -


     14 - Conducting Zonal Statistics in Python.mkv -


     15 - Image-Preprocessing-for-Deep-Learning.ipynb -


     15 - Preprocessing Real Sentinel2 Imagery for Deep Learning.mkv -


     16 - Integrating Google Earth Engine for Data Pipelines.mkv -


     16 - Integrating-Google-Earth-Engine-for-Data-Pipelines.ipynb -


     17 - Working with LargeScale Geospatial Data.mkv -


     17 - Working-with-Large-Scale-Geospatial-Data.ipynb -


     Center_Erbil.cpg -


     Center_Erbil.dbf -


     Center_Erbil.prj -


     Center_Erbil.sbn -


     Center_Erbil.sbx -


     Center_Erbil.shp -


     Center_Erbil.shp.DESKTOP-U07KOO1.15896.13176.sr.lock -


     Center_Erbil.shx -


     Erbil_Admi_3.cpg -


     Erbil_Admi_3.dbf -


     Erbil_Admi_3.ebb -


     Erbil_Admi_3.ed1 -


     Erbil_Admi_3.eq1 -


     Erbil_Admi_3.prj -


     Erbil_Admi_3.qpj -


     Erbil_Admi_3.qtr -


     Erbil_Admi_3.sbn -


     Erbil_Admi_3.sbx -


     Erbil_Admi_3.shp -


     Erbil_Admi_3.shx -


     18 - Introduction to CNNs for Satellite Imagery Analysis.mkv -


     19 - Crop-Health-Using-RS-data-and-Neural-Networks.ipynb -


     19 - Designing a CNN Model for Crop Health Classification.mkv -


     20 - Visualizing AI Model Performance.mkv -


     20 - Visualizing-ML-Model-Performance.ipynb -


     20 - crop-health.csv -


     21 - Evaluating models Accuracy precision recall and crossvalidation.mkv -


     21 - Evaluating-Models-Accuracy-Precision-Recall-and-Cross-Validation.ipynb -


     21 - crop-health.csv -


     22 - Hyperparameter Tuning with Grid Search and Random Search in Python.mkv -


     22 - Hyperparameter-Tuning-with-Grid-Search-and-Random-Search.ipynb -


     22 - crop-health.csv -


     DrnMppr-DEM-AOI.tif -


     DrnMppr-DTM-AOI.tif -


     DrnMppr-ORT-AOI.tif -


     aoi.cpg -


     aoi.dbf -


     aoi.prj -


     aoi.shp -


     aoi.shx -


     dem.tif -


     dtm.tif -


     ortho.tif -


     plant_count.cpg -


     plant_count.dbf -


     plant_count.prj -


     plant_count.shp -


     plant_count.shx -


     plots_1.cpg -


     plots_1.dbf -


     plots_1.prj -


     plots_1.shp -


     plots_1.shx -


     plots_2.dbf -


     plots_2.prj -


     plots_2.shp -


     plots_2.shx -


     23 - Building a Convolutional Neural Network for Image Classification.mkv -


     23 - CNNs-LULC-Classification-EuroSAT-Azad-Rasul.ipynb -


     24 - Building an AI Model for Crop Health Analysis.mkv -


     24 - Crop-Health-Using-RS-data-and-Neural-Networks.ipynb -


     25 - Detecting-and-Counting-Plants-Using-Computer-Vision-Techniques.ipynb -


     25 - Plant Counting with Computer Vision Techniques.mkv -


     26 - 1.1-FourCastNet-A-practical-introduction-to-a-state-of-the-art-deep-learning-global-weather-emulator.ipynb -


     26 - 1.2-FourCastNet-Added-Iraq.ipynb -


     26 - Applying Deep Learning for Global Weather Emulation with FourCastNet.html -


     27 - Validating Biomass Predictions with Ground Truth.mkv -


     27 - Validation-with-Ground-Truth-Biomass-Focus.ipynb -


     DrnMppr-DEM-AOI.tif -


     DrnMppr-DTM-AOI.tif -


     DrnMppr-ORT-AOI.tif -


     aoi.cpg -


     aoi.dbf -


     aoi.prj -


     aoi.shp -


     aoi.shx -


     dem.tif -


     dtm.tif -


     ortho.tif -


     plant_count.cpg -


     plant_count.dbf -


     plant_count.prj -


     plant_count.shp -


     plant_count.shx -


     plots_1.cpg -


     plots_1.dbf -


     plots_1.prj -


     plots_1.shp -


     plots_1.shx -


     plots_2.dbf -


     plots_2.prj -


     plots_2.shp -


     plots_2.shx -


     28 - Course Summary and Key Takeaways.html -


     29 - Next Steps and Additional Resources.html -


     Bonus Resources.txt -

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