Question

what is the advantages of MLP with pretrained autoencoder weight

Answer 1

Answer:

Explanation:

After completing this tutorial, you will know:

Transfer learning is a method for reusing a model trained on a related predictive modeling problem.

Transfer learning can be used to accelerate the training of neural networks as either a weight initialization scheme or feature extraction method.

How to use transfer learning to improve the performance of an MLP for a multiclass classification problem.