An organized list of interesting article from Tetsuo
- Article 0/4: Classification, Regression, and Feed-Forward Neural Networks.
- Article 1/4: Introduction to Machine Learning in C With TensorFlow C API.
Using a Convolutional Neural Network and the TensorFlow C API.
Equations, Dynamics, and C Implementation.
The Izhikevich neuron model represents cortical dynamics with two coupled differential equations that govern membrane potential and recovery behavior. Adjustable parameters allow the model to emulate a range of firing patterns observed in biological neurons. This article explains the model’s formulation and examines its spiking behaviors.
Building a Recursive Trie (prefix tree) in C With Diagrams: Insertion, Search, and Deletion
- Part 1/4: Exploiting Buffer Overflows: Shellcode, ROP, and Crafting Custom Ropchains for Codecaves
- More about Buffer Overflow