Deep Learning for Anomaly Detection

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Explore anomaly detection with an emphasis on deep learning methods. Understand its significance in real-world applications, differentiating normal and abnormal behaviours. Dive into traditional approaches, advantages of deep learning, and comparisons of core models. Learn about specific models like autoencoders, GANs, and other emerging tools. Investigate practical applications in fraud detection, challenges in applying these techniques, and key evaluation metrics. Conclude with upcoming...