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A single artificial neuron – I – a primitive ANN for a classification problem

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 for relatively simple experiments. And the objects you work with will typically be described in high-dimensional variable spaces. The good news is that one can… Read More »A single artificial neuron – I – a primitive ANN for a classification problem

Preliminary test of a Nvidia RTX 4060 TI 16GB with neural networks

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 miss a criterion like “performance“. The reason is that I regard the VRAM criterion as more important as raw GPU power. I have commented on… Read More »Preliminary test of a Nvidia RTX 4060 TI 16GB with neural networks

Criteria for ML capable graphic cards: Amount of VRAM or raw GPU power?

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. Even if you are not a professional you sooner or later may find that a new and better suited graphics card is required for your… Read More »Criteria for ML capable graphic cards: Amount of VRAM or raw GPU power?

A blog on experiences with Machine Learning experiments

This blog covers some basics, experiments and related math in the field of Machine Learning [ML]. It is a personal blog and not an ordered book. Contents comes with numerical experiments I had some fun with. I write in general about experiments which one can perform on a medium equipped Linux PC. Meaning: This blog will mainly cover conventional experiments which can e.g. be done with Scikit-Learn and Neural Networks with a rather limited number of layers. Still, I think that one can learn quite… Read More »A blog on experiences with Machine Learning experiments