Computational Ressources

Neuromatch Academy Deep Learning Course

Great introductory course to deep learning, including more general concepts (e.g. Multilayer Perceptrons, Optimization, Regularisation), different architectures (e.g. Convnets, Recurrent Neural Networks, and Transformers), as well as other advanced concepts, all conducted in PyTorch

Foundations of Computer Vision

Book covering Computer Vision, from throughout history until today. Published in 2024, so highly up to date. Very mathematical, but spends good time visualising foundational concepts to aid understanding. Currently no online version.

Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow

Have not personally used this book yet but have had it recommended to me. Serves as a good guide to ML using TensorFlow, and comes with a gitHub repo with notebooks for running the exercises