mrv_asura
Joined 5 years ago
Karma
239
Submissions
35
Member since
Apr 14
Recent submissions
Comment · 4 months ago
Comment · 1 year ago
Awesome! Curious how you guys manage to make it "75% cheaper"?
Comment · 1 year ago
Personal favorites:
1. Merkle Trees: https://ronkathon.pluto.xyz/src/tree/index.html
2. Digital Signatures: https://ronkathon.pluto.xyz/src/dsa/index.html
Comment · 1 year ago
Also checkout the github repo: https://github.com/pluto/ronkathon
Comment · 2 years ago
See github repo: https://github.com/mrdaybird/artspeak
Comment · 3 years ago
I learnt about KL Divergence recently and it was pretty cool to know that cross-entropy loss originated from KL Divergence.
But could someone give me the cases where it is preferred to use Mean-squared Error loss vs Cross-entropy loss? Is there any merits or demerits of using either?
1. [Lecture video](https://www.youtube.com/watch?v=SU8LaHLh6Ng)
2. [Slides](https://web.stanford.edu/class/ee380/Abstracts/141112-slides...)
I read the original blog, but i thought it would be better if it was more concise and more visual. Apparently, the author had already given an= lecture (that too with slides). So, put the LLMs to good use.
I loved the original blog so much! Fun read it was!