Explore the implementation of autoencoders in Python and Keras, focusing on building the decoder component. Learn to update the build method, construct the decoder architecture, add input layers, dense layers, reshape layers, and convolutional transpose layers. Discover how to create the output layer, recap the decoder construction process, and update the summary method. Gain insights into autoencoder instantiation and architecture summarization. Follow along with code examples and practical demonstrations to enhance your understanding of autoencoder implementation techniques.