From the course: Introduction to Deep Learning with OpenCV

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- [Jonathan] We've just used two Deep Learning frameworks in this course, Caffe and Darknet. Go ahead and try out a model in PyTorch or TensorFlow. Alternatively, you could keep yourself entertained for hours by checking out some of the semantic segmentation or person identification algorithms, for example. These have all been tested out with OpenCV's DNN module. You can fairly easily download any weights and configuration files from any of these models. This is just the start of your journey using pre-trained models, and there are a wide variety of use cases that you can apply them to. I hope you found this course useful. Thanks for watching and I'd love to hear back from you and to connect via LinkedIn. Enjoy and (speaking in foreign language).

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