Autoencoder is a type of artificial neural network used for unsupervised learning. It is meant to encode and decode data, extract meaningful representations, and reconstruct input data. It is often employed in data science for dimensionality reduction and feature learning.
Autoencoder
SHARE
Related Links
Many enterprises using Databricks for ETL workflows face challenges with isolated data management across workspaces. This…
Businesses are embracing the scalability and flexibility offered by cloud solutions. However, cloud migration often poses…
