NCA-GENM Exam Dumps | You're tasked with building a model that can generate recipes from images of food. You decide to use

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Question 24/192

You're tasked with building a model that can generate recipes from images of food. You decide to use a Variational Autoencoder (VAE) architecture. What would be a suitable loss function combination for this task, considering both reconstruction accuracy and recipe relevance?

A. KL divergence loss only-

B. Reconstruction loss (MSE) between the input image and the decoded image only

C. Reconstruction loss (MSE) + KL divergence loss + Cross-entropy loss between the generated recipe and a plausible recipe given the generated image embedding-

D. Reconstruction loss (MSE) + Perceptual loss (based on a pre-trained image classifier) only

E. KL divergence loss + Cosine Similarity loss between the generated image embedding and a text embedding of a random recipe.

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