Question

One of the major disadvantage of using neural networks over traditional machine learning

Answer 1

Most of the well-known applications (such as Speech Recognition, Image Processing and NLP) of AI are driven by Deep Learning. Deep Learning algorithms mimic human brains using artificial neural networks and progressively learn to accurately solve a given problem.

Answer 2

Answer:

Neural Networks usually require much more data than traditional Machine Learning algorithms, as in at least thousands if not millions of labeled samples. This isn't an easy problem to deal with and many Machine Learning problems can be solved well with less data if you use other algorithms