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.
