What is a primary challenge when deploying neural networks in real-world applica

What is a primary challenge when deploying neural networks in real-world applications?

What is a primary challenge when deploying neural networks in real-world applications?

Step 1: Understand that neural networks are complex models that learn from data.
Step 2: Recognize that overfitting happens when a model learns too much from the training data and doesn't perform well on new data.
Step 3: Identify that high computational costs mean that running these models requires a lot of processing power and resources.
Step 4: Acknowledge that sometimes there isn't enough data to train the model effectively, which can lead to poor performance.

No concepts available.