ModNexus on Instagram: "Understanding the architecture of an Autoencoder is essential for mastering unsupervised learning and data compression. What is an Autoencoder? An autoencoder is a specialized neural network designed to compress input data into a lower-dimensional representation (encoding) and then reconstruct it back to its original form (decoding). This process forces the model to capture only the most vital features of the data. ​ Core Components -Encoder: This layer compresses the inp

Mel-Spectrogram Reconstruction from Video Lip Sequences Using an Autoencoder Architecture | Advances in Soft Computing