The history of "Visualizations of Embeddings" in "Archaeology of AI"
#MachineLearning #ArtificialIntelligence #Visualizations #history
Doug Blank
@dsblank
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Professor Emeritus, Bryn Mawr College. Now Head of Research at Comet ML. Interested in open social web, machine learning, artificial intelligence, analogies, and robotics.
Compare and contrast #MachineLearning visualizations of multiple models' "attention" using Kangas and its new metric mask.
See the live demo: https://kangas.comet.com/?datagrid=/data/attention.datagrid&select=ID,Image,Model+Name
Try "Group by" ID to compare images; try "Group by" Model Name to compare models.
Open source from the folks at https://comet.com/
Me: Can you give me code that implements a multi-layer neural network?
ChatGPT: Sure...
Me: Did you forget the backward pass?
ChatGPT: Yes, I forgot to include the code for the backward pass in the previous example. Here is an updated version...
I wonder if anyone else in the world still has this kind of merch from the deep dark past of #machinelearning #deeplearning ?
@MichaelGasser were you there? And nice to see you here!
In 1991 I went to my first NeurIPS conference (called something else back then). Who would have thought that 31 years later I'd still be working on my true love. Thanks, https://comet.com/ !
#NeurIps conference starts tomorrow.
Something I've been working on, released today, Kangas DataGrid: a #Python tool for exploring multimedia datasets in a tabular format.
https://github.com/comet-ml/kangas
Some interesting technology in here I'll be posting about.
A real Scheme implementation (call/cc, choose/fail, etc) that can use Python libraries in @JupyterProject --- but also has stack traces or infinite loops!
tensorflow: Assembly Language for #DeepLearning
keras: C++ for #DeepLearning
conx: Python for #DeepLearning
conx.readthedocs.io/en/latest/
I now have a basic stub of an #activitypub microblog.pub Python library working with choice of database (mongo, sql, redis, etc) and choice of framework (flask or tornado):
https://github.com/dsblank/activitypub/tree/master/apps/blog
How could a generic AP library be useful?
I have an #activitypub library that now supports many SQL databases (sqlite (in-memory and on file), MySQL, PostGreSQL, etc), MongoDB, and Redis. Now I'm starting to work on a multi-framework web framework. Targeting Flask and Tornado to start...
