A. The three essential components of an autoencoder are: Encoder: This component compresses the input data into a lower-dimensional representation or code known as the latent space. Decoder: The decoder takes the compressed representation and reconstructs its original input data. Loss Function: A loss function measures the difference between the input and the reconstructed output, guiding the autoencoder's training process.