Home 2017-09-13T02:40:09+00:00
911, 2017

Deep Learning From Scratch VI: TensorFlow

November 9th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 6 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 [...]

2410, 2017

Connectionist Models of Cognition

October 24th, 2017|Categories: Artificial Intelligence, Cognitive Science, Computational Cognitive Modeling, Deep Learning, Machine Learning|

In this video, I give an introduction to the field of computational cognitive modeling (i.e. modeling minds through algorithms) in general, and connectionist modeling (i.e. using artificial neural networks for the modeling) in particular. We deal with the following topics:The purpose [...]

410, 2017

Robot Localization IV: The Particle Filter

October 4th, 2017|Categories: Artificial Intelligence, Machine Learning, Robotics, Self-Driving Cars|

This is part 4 in a series of articles explaining methods for robot localization, i.e. determining and tracking a robot's location via noisy sensor measurements. You should start with the first part: Robot Localization I: Recursive Bayesian Estimation The last [...]

2209, 2017

Robot Localization III: The Kalman Filter

September 22nd, 2017|Categories: Artificial Intelligence, Robotics, Self-Driving Cars|

This is part 3 in a series of articles explaining methods for robot localization, i.e. determining and tracking a robot's location via noisy sensor measurements. You should start with the first part: Robot Localization I: Recursive Bayesian Estimation This post [...]

1609, 2017

Dealing with Unbalanced Classes in Machine Learning

September 16th, 2017|Categories: Deep Learning, Keras, Machine Learning, Python|

In many real-world classification problems, we stumble upon training data with unbalanced classes. This means that the individual classes do not contain the same number of elements. For example, if we want to build an image-based skin cancer detection system [...]

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