How to Apply Deep Learning to Real-World Problems (Channel 9)

Hi Tim - No, I haven't tried that. To be clear, are you thinking of images as "sequences" of pixels? If that's the case, I suppose one could use some sequence-related algorithms, like RNN/LSTM, but with two dimensions. Typically, CNNs are used for images since they encode the proximity of neighboring pixels. To your second point, one could submit the image to the model before it's fully loaded, and get less-than-optimal results until the image is fully loaded.