Filipe Chagas Ferraz

Hopfield Networks are a type of recurrent neural network that function as associative memory systems, with the key ability to store stable patterns that can be retrieved from partial or noisy inputs. In this notebook, a Hopfield Network is trained to remember handwritten digits (MNIST dataset).

SAMSA is an educational and non-commercial app that can be used to demonstrate the Traveling Salesman Problem (TSP) and its solution process using the Ant Colony Optimization (ACO) metaheuristic algorithm. In this app, the user can input or generate a set of entry points, configure the ACO parameters, and the app will handle finding and presenting the solution to the TSP instance. Once the solution is found, it is possible to visualize the path taken by the traveling salesman, as well as the evolution of the ACO states throughout the optimization epochs.

Ant Colony Optimization (ACO) is a metaheuristic algorithm that performs well in solving path optimization problems, such as the Traveling Salesman Problem (TSP), by simulating the behavior of ants searching for food. In this notebook, ACO is implemented and explored as a TSP solver.

This notebook addresses the Traveling Salesman Problem (TSP), which seeks the shortest possible route for a salesman to visit a set of cities and return to the starting point. It uses the Simulated Annealing algorithm, a probabilistic technique inspired by the annealing process in metallurgy, to explore potential solutions and efficiently find a near-optimal route.

Seam Carving is an image processing algorithm that resizes images by removing or inserting paths of pixels ('seams') with the least visual importance, preserving key content while reducing size. Ideal for smart cropping and aspect ratio adjustments.