Which of the following options is the key factor that led the return of neural networks?Group of answer choicesthe back-propagation learning algorithmDramatically increased Computational power (Cloud computing)World Wide WebBig data (five Vs)Deep learning algorithms

The key factor that led to the return of neural networks is the dramatically increased computational power, particularly through the advent of cloud computing. This has allowed for the processing of large amounts of data and complex calculations that neural networks require.

Here's a step-by-step explanation:

1. Neural networks require a lot of computational power: Neural networks, especially deep learning networks, involve many layers of calculations. This requires a significant amount of computational power, especially when dealing with large datasets.

2. The advent of cloud computing: Cloud computing has made it possible to access high levels of computational power without the need for expensive hardware. This has made neural networks more accessible and feasible.

3. The impact of increased computational power: With increased computational power, it's possible to train larger and more complex neural networks. This has led to significant advancements in fields like image recognition, natural language processing, and other areas where neural networks are used.

4. Other factors: While increased computational power is a key factor, it's also worth noting that other factors have contributed to the return of neural networks. This includes the development of better learning algorithms (like back-propagation), the availability of big data to train the networks, and the growth of the internet which has made it easier to access and share information about neural networks and their applications.