Binary classifiers that accept as input an image ... map out the boundaries of the classification space. This creates a problem when it comes to employing deep learning models as classifiers ...

After that, a binary mask was generated after the image ... Table 2 lists the classification accuracies for the diagnostic classification of the cystoscopic images using the deep-learning models. We ...

Meanwhile, due to the separation of the deep learning model and the machine learning model, either module can be flexibly adapted and replaced for different image classification tasks and datasets ...

James McCaffrey of Microsoft Research continues his examination of creating a PyTorch neural network binary classifier ... for training (learning rate and max epochs). [Click on image for larger view.