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Answer» Following are the disadvantages of NEURAL networks:- - The "black box" aspect of neural networks is a well-known disadvantage. That is, we have no idea how or why our neural network produced a certain result. When we enter a dog image into a neural network and it predicts that it is a duck, we may FIND it CHALLENGING to understand what prompted it to MAKE this prediction.
- It takes a long time to create a neural network model.
- Neural networks models are COMPUTATIONALLY expensive to build because a lot of computations need to be done at each layer.
- A neural network model requires significantly more data than a traditional machine learning model to train.
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