Alternative to support vector machine?

1. What is better than support vector machine?
2. Is CNN better than SVM?
3. Why LSTM is better than SVM?
4. How is Ann better than SVM?

What is better than support vector machine?

If given as much training and computational power as possible, however, NNs tend to outperform SVMs.

Is CNN better than SVM?

As can be seen from Fig. 2, when using a large sample mnist data set, the accuracy of SVM is 0.88, the accuracy of CNN is 0.98, the time required for SVM is 27.6 min, and the time required for CNN is 23.2 min.

Why LSTM is better than SVM?

Overall, LSTM performs better than SVM in all the scenarios. This is because of its ability to remember or forget the data in an efficient manner than SVM. With moving averages, the SVM and LSTM models both perform significantly better on the combined dataset over the standard base dataset.

How is Ann better than SVM?

The difference is mainly on how non-linear data is classified. Basically, SVM utilizes nonlinear mapping to make the data linear separable, hence the kernel function is the key. However, ANN employs multi-layer connection and various activation functions to deal with nonlinear problems.