Questions tagged [neural-architecture-search]

For questions related to the concept of neural (network) architecture search (NAS), which is a way of automating the design (that is, the hyper-parameters) of a neural network. NAS is related to neuroevolution, given that neuroevolution can be used to perform NAS, but neuroevolution is not the only way of performing NAS. For example, reinforcement learning can also be used to perform NAS.

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Which hyper-parameters are considered in neural architecture search?

I want to understand automatic Neural Architecture Search (NAS). I read already multiple papers, but I cannot figure out what the actual search space of NAS is / how are classical hyper-parameters ...
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1answer
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Which hyperparameter does Neural Architecture search (NAS) use?

i have read a lot about NAS but I still do not understand one concept: When setting up a neural network, hyperparameters need to set up, like for example the learning rate, dropout rate, batch size, ...
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54 views

Can neural networks modify their own weights without back-propagation and gradient descent?

Can neural networks modify their own weights without back-propagation and gradient descent?
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1answer
56 views

How does RL based neural architecture search work?

I have read through many of the papers and articles linked in this thread but I haven't been able to find an answer to my question. I have built some small RL networks and I understand how REINFORCE ...
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3answers
127 views

How is neural architecture search performed?

I have come across something that IBM offers called neural Architecture search. You feed it a data set and it outputs an initial neural Architecture that you can train. How is neural architecture ...