  In this study, we introduce an autonomous method for addressing the detection
and classification of quantum entanglement, a core element of quantum mechanics
that has yet to be fully understood. We employ a multi-layer perceptron to
effectively identify entanglement in both two- and three-qubit systems. Our
technique yields impressive detection results, achieving nearly perfect
accuracy for two-qubit systems and over $90\%$ accuracy for three-qubit
systems. Additionally, our approach successfully categorizes three-qubit
entangled states into distinct groups with a success rate of up to $77\%$.
These findings indicate the potential for our method to be applied to larger
systems, paving the way for advancements in quantum information processing
applications.
