Python for Deep Learning - Build Neural Networks in Python - Advantages of Neural Networks

The video tutorial discusses the advantages of artificial neural networks, including their ability to work with incomplete knowledge, fault tolerance, and parallel processing capabilities. It explains how neural networks can still produce outputs even with missing information, tolerate faults without halting operations, and perform multiple tasks simultaneously. The tutorial concludes the discussion on advantages and transitions to the disadvantages of neural networks.

In what way does the performance of an artificial neural network depend on missing information?

What are the potential disadvantages of artificial neural networks that should be considered?