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Made a quick and dirt streamlit app to play around encrypt decrypt https://llmencryptdecrypt-euyfofcjh8bf2utuha2zox.streamlit.a...


Made a quick and dirt streamlit app to play around encrypt decrypt

https://llmencryptdecrypt-euyfofcjh8bf2utuha2zox.streamlit.a...


It is very good at decrypting the string "Error".


How about the textbook http://www.deeplearningbook.org/.

It introduces you to some of the underlying principles which haven't changed much over time. I highly recommend it if you want to get deeper intuitions on the principles of CNN, LSTM/RNN, Restricted Boltzmann Machines etc. Also, Hinton's Coursera lectures, though not sure if you can access it anymore.


It was on academic torrents I believe.


Wow. Didn't realize how HOT deep learning was in 2015.


This is fantastic! Though it's not clear how much product/service engineering is required.


It seems to be listed as a software engineering position (and are likely paid through the same construct, since participants are required to be eligible for work in the US). I would think they are paid as entry level software engineers, but that's all conjecture.


Also check out the octopus visualization. http://cs.stanford.edu/people/karpathy/scholaroctopus/


Most of the time the top article goes down. However there is always gooogle cache: http://webcache.googleusercontent.com/search?q=cache:U8pNBnR...


Can't people already use gmail to do so?


I use gmail, so everybody else must use it also ...


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