Convolution neural networks can learn from multiple attributes parallelly. In the final phase, we stack many of the output aspect maps along with the depth and make the output. Variational AutoEncoders Autoencoders have emerged being an architecture for information illustration and technology. Amongst them, Variational Autoencoders (VAEs) jump out, https://financefeeds.com/4-blockchain-innovations-shaping-the-future-of-finance-and-tech-best-coins-to-buy-now/