When I gave a few introductory courses on basic Machine Learning [ML] algorithms in 2022, I sometimes ran into a discussion about “features“. The discussions were not only triggered by my personal definition, but also by some introductory books on ML the attendants had read. Across such textbooks, but even in a single book on ML the authors have a… Read More »The Meaning of Object Features in different ML-Contexts
This post requires Javascript to display formulas! When you start working with Artificial Neural Networks [ANNs] there are a lot of things you must get familiar with: Different types of networks and network layers, weights, signal propagation, loss, backward error propagation, gradient descent, regularization, normalization, tensors (arrays) …. In addition you may have to fight with complex layer structures even… Read More »A single artificial neuron – I – a primitive ANN for a classification problem
Recently I had the opportunity to test a Nvidia RTX 4060 TI (vendor: MSI, model:Ventus ) on my Linux system against a Geforce GTX 960. For private consumers as me who are not interested in gaming, but in Machine Learning [ML] this type of card can be interesting. I name three reasons: Some of the readers of this blog may… Read More »Preliminary test of a Nvidia RTX 4060 TI 16GB with neural networks
Some of my readers may be interested in having a private environment to study Machine Learning [ML] techniques and perform experiments with complex Neural Network algorithms. I do not talk about AI professionals, but about people (as myself) who are students or privately interested in ML-techniques. And about people who have a limited budget for their AI and ML interests.… Read More »Criteria for ML capable graphic cards: Amount of VRAM or raw GPU power?