Prerequisites: Basic Python knowledge
Level:
Autoencoder Fundamentals
Understand the basic architecture and purpose of an autoencoder.
Encoding and Decoding
Explain the process of data compression (encoding) and reconstruction (decoding) in autoencoders.
Feature Learning
Describe how autoencoders can be used to learn meaningful representations (features) from data.
Dimensionality Reduction
Grasp how autoencoders perform dimensionality reduction.
Basic Implementation
Implement a simple autoencoder using a common machine learning library.