Mar 26 - Deep Learning

Link to Michael's Lab

Deep Learning Resources

Interactive examples:

• https://towardsdatascience.com/interactive-machine-learning-experiments-e9b29b0cb7b9

• https://github.com/trekhleb/machine-learning-experiments?tab=readme-ov-file

• https://trekhleb.dev/machine-learning-experiments/#/

• https://www.dlology.com/blog/top-10-deep-learning-experiences-run-on-your-browser/

Reading

• https://www.freecodecamp.org/news/want-to-know-how-deep-learning-works-heres-a-quick-guide-for-everyone-1aedeca88076/

• https://towardsdatascience.com/intro-to-deep-learning-c025efd92535

• https://www.ibm.com/topics/deep-learning

• https://udlbook.github.io/udlbook/

• https://www.amazon.com/Deep-Learning-Press-Essential-Knowledge/dp/0262537559

• https://developer.ibm.com/articles/cc-machine-learning-deep-learning-architectures/

• https://towardsdatascience.com/convolutional-neural-networks-explained-9cc5188c4939

• https://distill.pub/

Mistakes to Avoid

• https://www.exxactcorp.com/blog/Deep-Learning/7-Common-Machine-Learning-and-Deep-Learning-Mistakes-and-Limitations-to-Avoid

• https://www.sas.com/en_us/insights/articles/big-data/5-machine-learning-mistakes.html

• https://medium.com/data-science-365/top-20-machine-learning-and-deep-learning-mistakes-that-secretly-happen-behind-the-scenes-e211e056c867

• https://www.forbes.com/sites/forbestechcouncil/2023/08/08/20-mistakes-to-avoid-when-developing-machine-learning-models/?sh=826ba506a3f6

• https://towardsdatascience.com/rookie-errors-in-machine-learning-bc1c627f2789

• https://pub.towardsai.net/10-biggest-mistakes-in-machine-learning-and-how-to-avoid-them-cb276802218b

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SOMs

• https://www.baeldung.com/cs/som-algorithm

• https://en.wikipedia.org/wiki/Self-organizing_map

ArcGIS

• https://www.esri.com/en-us/arcgis/deep-learning-models

• https://pro.arcgis.com/en/pro-app/3.1/help/analysis/deep-learning/what-is-deep-learning-.htm

• https://pro.arcgis.com/en/pro-app/latest/tool-reference/image-analyst/an-overview-of-the-deep-learning-toolset-in-image-analyst.htm

• https://www.esri.com/arcgis-blog/products/arcgis-pro/imagery/deep-learning-with-arcgis-pro-tips-tricks/

ENVI

• https://www.nv5geospatialsoftware.com/docs/OverviewENVIDeepLearning.html

Python

• https://www.tensorflow.org/

• https://keras.io/

• https://pytorch.org/

R

• https://www.datacamp.com/tutorial/keras-r-deep-learning

• https://tensorflow.rstudio.com/

Applications

• https://www.sdsc.edu/News%20Items/PR20230809_smokeynet.html

• https://github.com/satellite-image-deep-learning/techniques

• https://paperswithcode.com/task/semantic-segmentation

• https://segment-anything.com/

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