Completed Andrew Ng’s Convolutional Neural Networks course — the third in his Deep Learning specialisation — with 100%. This was the most genuinely new material for me; I’d only skimmed a couple of papers on CNNs and never properly implemented one.
The course is excellent. Highlights: 1D, 2D, and 3D convolutions explained clearly and in depth; coverage of VGGNet, InceptionNet, and Network-in-Network architectures; applications including object recognition, face recognition, and Neural Style Transfer. The programming assignments were engaging and moderately challenging, and the reading list was valuable.
A great resource for anyone interested in the topic.