F or years, Obsidian has been my digital brain, the central hub for all my notes, thoughts, and research. Its powerful ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, Sigmoid, and more. Perfect for machine learning enthusiasts and AI developers!

Random Analytic Functions and Their Zeros Publication Trend The graph below shows the total number of publications each year in Random Analytic Functions and Their Zeros.

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

This is a potentially valuable modeling study on sequence generation in the hippocampus in a variety of behavioral contexts. While the scope of the model is ambitious, its presentation is incomplete ...

When wireless communication links are modeled as independent on-off channels, this amounts to analyzing a random graph model formed by intersecting a random K-out graph and an Erdös-Rényi graph. We ...

Abstract: A general result is proved for constructions which use a pseudo-random function (PRF) with a “small” domain to build a PRF with a “large” domain. This result is used to analyse a new ...

Doing hackerrank python challenges regularly makes you a better problem solver. Using the HackerRank community can give you ...

Levels of supply and demand for varying prices can be plotted on a graph as curves ... Changes in demand levels as a function of a product's price relative to buyers' income or resources are ...