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Using Machine Learning technology to work with Family photos is the first arc. I'd like to work on this problem as a way to understand machine learning as well as solve problems related to documenting and learning about family history.

What is machine learning and inspirational resources:

3Blue1Brown

https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

Two Minute Papers

https://www.youtube.com/user/keeroyz

Architects of Intelligence:

https://www.amazon.com/Architects-Intelligence-truth-people-building-ebook/dp/B07H8L8T2J

Examples:

Yolo

https://pjreddie.com/darknet/yolo/

DeOldify

https://github.com/jantic/DeOldify

Tutorials:

https://www.pyimagesearch.com/

Colab.Research/Jupyter Notebooks:

StyleTransfer:

https://colab.research.google.com/drive/1gOSl-TE0MjevJdXlrBZXYgY6xgReVgbH#scrollTo=D4X89hbntDoP

DeOldify:

https://colab.research.google.com/drive/1lIbsasBF4Qmt-0GUoXVNr6fQQvmifSag

Technology:

Keras

https://keras.io/

TensorFlow

https://www.tensorflow.org/

Tensorflow.js

https://js.tensorflow.org/

PyTorch

https://pytorch.org/

FastAI

https://www.fast.ai/

Dlib:

http://dlib.net/