José has a point - without enough training data, your deep learning and machine learning models can’t learn the underlying, discriminative patterns required to make robust classifications. ![]() I’m confident I can solve this project, but I need more data. I’ve found a small dataset (~100 images per class), but my models are quick to overfit and far from accurate. I’m working on a project where I need to classify the scenes of outdoor photographs into four distinct categories: cities, beaches, mountains, and forests. ![]() ![]() This is by far the best resource I’ve seen for deep learning. Hey Adrian, thanks for putting together Deep Learning for Computer Vision with Python.
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