I will summarize the most important

[email protected]

These networks are very fast compared to the data they process are used in financial and economic analyses and have many uses in biology. Read also What is machine learning its benefits types and applications simplified and easy explanation PROBLEMS AND SHORTCOMINGS OF ARTIFICIAL NEURAL NETWORKS Neural networks like everything else are not completely rosy.


Rather there are many problems and shortcomings that limit their use or constitute a major obstacle to their use in all aspects of our lives. weaknesses of neural networks which are Artificial neural net Belgium WhatsApp Number Data works requirements for data Neural networks need lots and lots of data to feed them and although this is sometimes available to use them in some other applications it is very cumbersome or even impossible and this is because you want to collect information and then classify it to train the neural network and the model on it in addition to that This data issue also contributes to the network taking too much time to operate.







Read also What is Big Data and how it has changed the world Another concern on the scene is that neural networks need a larger number of data in order to be effective and so that we can use them especially in deep learning applications and this is what makes us forced to provide the largest amount of data in order to increase the effectiveness of the neural network or even make its effectiveness acceptable.