An autoencoder is a type of neural network that learns to encode and decode data efficiently, making it a valuable tool for image reconstruction tasks. Key Features: MNIST Dataset: The project is ...

Most neural network libraries, including PyTorch, scikit and Keras, have built-in MNIST datasets. However, working with pre-built MNIST datasets has two big problems. First, a pre-built dataset is a ...