  Detection of entangled states is essential in both fundamental and applied
quantum physics. However, this task proves to be challenging especially for
general quantum states. One can execute full state tomography but this method
is time demanding especially in complex systems. Other approaches use
entanglement witnesses, these methods tend to be less demanding but lack
reliability. Here, we demonstrate that ANN -- artificial neural networks
provide a balance between both approaches. In this paper, we make a comparison
of ANN performance against witness-based methods for random general 2-qubit
quantum states without any prior information on the states. Furthermore, we
apply our approach to real experimental data set.
