  In this work, we propose a straightforward method to derive Elliptic Curve
Digital Signature Algorithm (ECDSA) key pairs from embeddings created using
Deep Learning and Metric Learning approaches. We also show that these keys
allows the derivation of cryptocurrencies (such as Bitcoin) addresses that can
be used to transfer and receive funds, allowing novel Blockchain-based
applications that can be used to transfer funds or data directly to domains
such as image, text, sound or any other domain where Deep Learning can extract
high-quality embeddings; providing thus a novel integration between the
properties of the Blockchain-based technologies such as trust minimization and
decentralization together with the high-quality learned representations from
Deep Learning techniques.
