Hi I'm very new to deep learning, and i just want to clear something up. is a Seq2Seq model the same as a keras Sequential model? secondly what neural network does a Sequential model represent? (Sorry if this seems like a stupid question)
i've recently built a conversational ai and have created it using the keras sequential model.
Is a Seq2seq model more advanced?, should i have used seq2seq instead?
What I have tried:
can someone please help me to understand both a bit more?