In this paper. we propose a framework (ALMO) for any-shot learning from multi-modal observations. Using training data containing both objects (inputs) and class attributes (side information) from multiple modalities. ALMO embeds the high-dimensional data into a common stochastic latent space using modality-specific encoders. https://www.bekindtopets.com/huge-sale-Jeffers-Citronella-Aloe-All-Natural-Horse-Shampoo-mega-choice/