agation, stoc…sed toward new folks coming into the field who have the time to keep up with what’s going on. Also, once you really understand backpropagation, stochastic gradient descent, convolutions, attention, and LSTMs you’ve got most of the big parts down (you know enough to work professionally in deep learning). Many other advances are merely modifications, permutations, or extensions of these concepts.
ed to start w…y people make the mistake of starting with a “sexy idea” and then working backward to the customer. We need to start with customer needs and then figure out how decentralization can meet those needs better than centralization.