Deep Learning Application for Earth Observation --> [ DevCourseWeb ]

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Torrent File Content (44 files)

[ DevCourseWeb.com ] Udemy - Deep Learning Application for Earth Observation
Get Bonus Downloads Here.url -

182 bytes

~Get Your Files Here !
1. Introduction/1. Introduction.mp4 -

39.05 MB

1. Introduction/2. Convolution neural network.mp4 -

39.29 MB

1. Introduction/3. Resources to learn deep learning.html -

930 bytes

1. Introduction/4. Notebooks and codes.html -

429 bytes

2. Deep learning environment setup/1. Overview of this section.mp4 -

4.37 MB

2. Deep learning environment setup/2. Local environment vs Google Colab.mp4 -

14.67 MB

2. Deep learning environment setup/3. Tensorflow installation.mp4 -

88.64 MB

2. Deep learning environment setup/4. Tensorflow in jupyter notebook.mp4 -

14.44 MB

2. Deep learning environment setup/5. Installation of matplotlib, gdal and rasterio.mp4 -

22.74 MB

2. Deep learning environment setup/6. Tensorflow in google colab.mp4 -

45.87 MB

2. Deep learning environment setup/7. Deep learning basic questions.html -

198 bytes

3. Deep learning dataset preparation using ArcGIS Pro/1. Required dataset for this lecture.html -

897 bytes

3. Deep learning dataset preparation using ArcGIS Pro/2. Create area of interest in ArcGIS pro.mp4 -

110.12 MB

3. Deep learning dataset preparation using ArcGIS Pro/3. Download sentinel2 MSI imagery from GEE.mp4 -

105.55 MB

3. Deep learning dataset preparation using ArcGIS Pro/4. Create the output imagery (mask imagery).mp4 -

99.25 MB

3. Deep learning dataset preparation using ArcGIS Pro/5. Create image and mask tiles using arcgis pro.mp4 -

195.52 MB

3. Deep learning dataset preparation using ArcGIS Pro/6. Deep learning dataset preparation quiz.html -

198 bytes

4. Open source solution for data preparation (geotile)/1. Overview of this section.html -

706 bytes

4. Open source solution for data preparation (geotile)/2. About the input dataset.mp4 -

36.08 MB

4. Open source solution for data preparation (geotile)/3. Introduction to geotile package.mp4 -

13.91 MB

4. Open source solution for data preparation (geotile)/4. Image and Mask tiles using GeoTile.mp4 -

152.6 MB

4. Open source solution for data preparation (geotile)/5. DL training dataset preparation using open-source solution.html -

198 bytes

5. Image classification/1. Overview of this lecture.html -

1.2 KB

5. Image classification/2. Introduction to image classification.mp4 -

51.61 MB

5. Image classification/3. About dataset.mp4 -

45.18 MB

5. Image classification/4. Image classification deep learning model.mp4 -

195 MB

6. Deep learning object detection/1. Overview of this section.html -

320 bytes

6. Deep learning object detection/2. Object detection introduction.mp4 -

21.11 MB

6. Deep learning object detection/3. About dataset.mp4 -

33.98 MB

6. Deep learning object detection/4. Object detection using YOLOv4.mp4 -

199.6 MB

7. Image segmentation (Binary class)/1. Overview of this section.html -

382 bytes

7. Image segmentation (Binary class)/2. About dataset.mp4 -

29.01 MB

7. Image segmentation (Binary class)/3. Building detection.mp4 -

138.31 MB

8. Image segmentation (Multi-class)/1. Overview of this section.html -

464 bytes

8. Image segmentation (Multi-class)/2. Land use Land cover mapping.mp4 -

100.69 MB

8. Image segmentation (Multi-class)/3. Convert image to numpy file.mp4 -

13.97 MB

8. Image segmentation (Multi-class)/4. Convert numpy file to image.mp4 -

31.15 MB

9. Landslide detection/1. Overview of this section.html -

537 bytes

9. Landslide detection/2. Landslide inventory detection using CNN.mp4 -

276.69 MB

9. Landslide detection/3. Attention U-Net introduction.mp4 -

30.72 MB

9. Landslide detection/4. Landslide detection using SAR dataset.mp4 -

274.69 MB

9. Landslide detection/5. Bonus lecture.html -

2.18 KB

Bonus Resources.txt -

386 bytes

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