Tag: #notes
-
Navier Stokes Equation – I
Following is a simple and brief derivation (from first principles) of Navier Stokes equation which…
-
AI Safety – Hinton Lectures
Living in Toronto and working in AI how could I not go to a Geoffrey…
-
Normalizing Data for ML : Methods and Lessons Learned
I ended up writing this article after digging into a tiny rabbit hole of stellar…
-
Lagrangian I – Brief Review
This was a super quick derivation of Euler Lagrange Equation meant to be used as…
-
Attention I – Review
References: https://arxiv.org/pdf/1706.03762 We’ll dive deeper into attention later in another blog
-
RNN – Review
References: https://arxiv.org/pdf/1912.05911 https://arxiv.org/pdf/1808.03314 https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks https://www.d2l.ai/chapter_recurrent-neural-networks https://www.geeksforgeeks.org/machine-learning/introduction-to-recurrent-neural-network
-
Moon I – Phases & Eclipses
The guardian of our night skies never fails to mesmerize us with the wonders its…
-
-
-
CNN – Review
Other Resources:http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdfhttps://jasoncantarella.com/downloads/CNN.pdfhttps://arxiv.org/pdf/1609.04112.pdfhttps://adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html