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Choosing Between GAN Or Encoder Decoder Architecture For ML Applications Is Like Comparing Apples To Oranges

Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons and their networks in the brain. Computational algorithms often mimic and…

How Google Brain’s New RNN Analyses And Generates Sketch Drawings

In the domain of deep learning, development of Recurrent neural networks (RNN) has had a stellar improvement in the past few decades. RNN has progressed from just being a possible theoretical concept to a standard element in neural network applications,…

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