Want to learn how to develop an image classification app with swift and CoreML?

In the fifth post in the series, we will take our app for a spin in our local zoo! We identify that not all animals are labeled correctly and talk about multi-label vs. multi-class models:

https://thinkpractice.nl/post/zooscan_5/

#swift #swiftlang #iOSDev #tutorial #ML #coreml #Buildinpublic #mltheory

#MachineLearning #MLBasics #ArtificialIntelligence #AI #DataScience #MathForML #MLTheory #DeepLearning #AndrewNg #TechExplained #LearningAlgorithms #MLEducation #BackToBasics #TechBlog #AIExplained

https://victornava.dev/2025/06/03/beyond-the-buzzwords-what-is-machine-learning-really/

[2502.05244] Probabilistic Artificial Intelligence
https://arxiv.org/abs/2502.05244
https://news.ycombinator.com/item?id=43318624

Manuscript 418pp ...

#ML #probability #MLbooks #MLtheory

Mathematics opens black box of AI decision-making
https://phys.org/news/2025-01-mathematical-technique-black-ai-decision.html

* understanding how neural networks (NN) make decisions
* poorly understood process in machine learning

Image segmentation w. traveling waves in exactly solvable recurrent NN
https://www.pnas.org/doi/10.1073/pnas.2321319121

* RNN performing simple image segmentation, also exactly mathematically solvable
* math understanding precisely how int. connections w/i NN create visual computations

#ML #NN #RNN #MLtheory #SpectralGraphTheory #GraphTheory

Signal processing interpretation of noise-reduction convolutional neural networks
https://arxiv.org/abs/2307.13425

* Encoding-decoding (ED) CNNs: central role in data-driven noise reduction
* ED CNN development often ad-hoc lacking theory
* builds on theory of deep convolutional framelets
* explains ED CNN architectures in unified theoretical framework connecting signal processing to deep learning
...

#NeuralNetworks #SignalProcessing #InterpretableModels #MLtheory #DeepLearning #framlets #CNN #ML