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How to Know When Machine Learning Does Not Now
It is becoming increasingly important to understand how a prediction made by a Machine Learning model is informed by its training data.
adversarial-learning interpretability uncertainty adversarial-examples
Intro to Autoencoders
This tutorial introduces autoencoders with three examples: the basics, image denoising, and anomaly detection.
autoencoders anomaly-detection time-series denoising
Deep Learning for Anomaly Detection: A Survey
We present a structured and comprehensive review of research methods in deep anomaly detection (DAD).
anomaly-detection survey research tutorial
Anomaly Detection for Dummies
Unsupervised anomaly detection for univariate & multivariate data.
anomaly-detection outlier-detection unsupervised-learning univariate
Anomaly detection with Keras, TensorFlow, and Deep Learning
Perform anomaly detection in your own image datasets using deep learning.
anomaly-detection tensorflow keras deep-learning
Anomaly Detection with Autoencoder in TensorFlow 2.0
How to implement a Deep Neural Network Model for Anomaly Detection in TensorFlow 2.0.
anomaly-detection autoencoders fraud-detection finance
Awesome Fraud Detection
A curated list of data mining papers about fraud detection.
fraud-detection deep-learning community-detection classification
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