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Archive for the 'x57j' Category
Rethinking the Science of Skin | The New Yorker
September 4, 2021“James Hamblin, a staff writer at The Atlantic and the author of “Clean: The New Science of Skin” (Riverhead), is….”
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“In “The Remarkable Life of the Skin” (Atlantic Monthly Press), Lyman’s goal is…”
https://www.newyorker.com/magazine/2020/08/03/rethinking-the-science-of-skin
In Search of Memory: The Emergence of a New Science of Mind: Kandel, Eric R.: 9780393329377: Amazon.com: Books
September 4, 2021Python image processing libraries
August 19, 2021links to the Python libraries below:
Pillow – https://pillow.readthedocs.io/en/stable/
Scikit-image – https://scikit-image.org/
The Code Breaker: Jennifer Doudna, Gene Editing, and the Future of the Human Race: Isaacson, Walter: 9781982115852: Amazon.com: Books
August 1, 2021The Deep Sea Is Filled with Treasure, but It Comes at a Price | The New Yorker
July 31, 2021Edith Widder, “Below the Edge of Darkness: A Memoir of Exploring Light and Life in the Deep Sea” (Random House).
Helen Scales, “The Brilliant Abyss: Exploring the Majestic Hidden Life of the Deep Ocean, and the Looming Threat That Imperils It” (Grove Atlantic)
Google Colab Resources
July 17, 2021here are some nice resources on how to use Google Colab
(https://colab.research.google.com/notebooks/).
Tutorials:
https://www.geeksforgeeks.org/how-to-use-google-colab/
https://www.tutorialspoint.com/google_colab/index.htm
https://medium.com/swlh/the-best-place-to-get-started-with-ai-google-colab-tutorial-for-beginners-715e64bb603b (this website will ask you to log in and encourage you to pay to access their articles after a few visits, but just open the website in incognito mode so they can’t track your information)
Cool examples:
https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/generative/autoencoder.ipynb
https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/generative/deepdream.ipynb
https://colab.research.google.com/github/tensorflow/lucid/blob/master/notebooks/differentiable-parameterizations/style_transfer_2d.ipynb https://colab.research.google.com/drive/1VLG8e7YSEwypxU-noRNhsv5dW4NfTGce