## Robot Localization I: Recursive Bayesian Estimation

This is part 1 in a series of tutorials in which we explore methods for robot localization: the problem of tracking the location of a robot over time with noisy sensors and noisy motors, which is an important task for every [...]

## Why the Chinese Room Argument is Flawed

This text deals with arguments against the possibility of so-called strong artificial intelligence, with a particular focus on the Chinese Room Argument devised by philosopher John Searle. We start with a description of the thesis that Searle wants to disprove. Then [...]

## Gödel’s Incompleteness Theorem And Its Implications For Artificial Intelligence

Introduction This text gives an overview of Gödel’s Incompleteness Theorem and its implications for artificial intelligence. Specifically, we deal with the question whether Gödel’s Incompleteness Theorem shows that human intelligence could not be recreated by a traditional computer. Sections 2 [...]

## Deep Learning From Scratch V: Multi-Layer Perceptrons

This is part 5 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the first [...]

## Deep Learning From Scratch IV: Gradient Descent and Backpropagation

This is part 4 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the first [...]

## Deep Learning From Scratch III: Training criterion

This is part 3 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the [...]