deep learning class imbalance problem
Deep learning class imbalance problem:
Deep learning has revolutionized the way we design solution to complex problem. Just like humans learn by experience, machine learning algirithms has enabled to copy the learning mecanism to "train" a network capable of learning complex tasks. The performance of learning is directly proportional to the quality of the training dataset. If the dataset is dominated by a class the learner will be biased towords that majority class and may ignore the minority class. Since high class imbalance is naturally inherent in many real-world applications, e.g., fraud detection and cancer detection.