Metropolis Hastings (2D, multivariate normal distributions)
This interactive dashboard helps you to understand Metropolis Hastings algorithm for a two-dimensional case. If you modify the parameters, you see their impact.
Metropolis Hastings (1D, complex distribution)
This interactive dashboard helps you to understand Metropolis Hastings algorithm for a complex distribution. If you modify the parameters, you see their impact.
Metropolis Hastings (1D, simple distribution)
This interactive dashboard helps you to understand Metropolis Hastings algorithm. If you modify the parameters, you see their impact.
Deep Learning: Semantic Segmentation
Semantic segmentation is a deep learning technique, which is used to classify parts of images, actually each indivdual pixel, to different classes. This video gives you a theorical overview on the topic. This video provides an overview on what we will implement together. And in this video you learn how to implement this technique with …
Deep Learning: Pretrained Models and Transfer Learning
In this lecture you learn the basics of pretrained models and transfer learning. Let’s get an overview of what we will code together. Now we are ready to start coding.
Deep Learning: Modeling
These slides elaborate on Deep Learning model creation and application.
Deep Learning: Frameworks Slideset
These slides elaborate on frameworks for Deep Learning.
Deep Learning: Optimizers Slideset
These slides focus on optimizers of neural networks.
Deep Learning: Loss Functions Slideset
These slides focus on loss functions of neural networks.
Deep Learning: Activation Functions Slideset
These slides focus on activation functions of neural networks.