Convolution neural networks can find out from multiple options parallelly. In the final stage, we stack all the output feature maps along with the depth and produce the output. Variational AutoEncoders Autoencoders have emerged as an architecture for details representation and generation. Amongst them, Variational Autoencoders (VAEs) jump out, https://financefeeds.com/best-copyright-presales-to-invest-in-top-new-cryptos-ready-for-their-100x-market-debut/