Question 1: Short answer
easyAI-checkedAutoencoders & VAEsA linear autoencoder for flattened MNIST images has an encoder
nn.Linear(784, 32) and a decoder nn.Linear(32, 784). How many trainable parameters does it
have in total?
3 questions from Autoencoders & VAEs
3 questions · 3 min · score and explanations at the end
A linear autoencoder for flattened MNIST images has an encoder
nn.Linear(784, 32) and a decoder nn.Linear(32, 784). How many trainable parameters does it
have in total?