Teacher:In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Teacher: Now, understand the problem? Solve this instance: Our search space consists of two stackable cells, one for the model encoder and one for the decoder Each cell contains NASNet-style blocks, which receive two hidden state inputs and produce new hidden states as outputs Our search space contains five branch-level search fields (input, normalization, layer, output dimension and activation), one block-level search field (combiner function) and one cell-level search field (number of cells).
Question: What is in the model search space?
Student:
Our search space consists of two stackable cells, one for the model encoder and one for the decoder Each cell contains NASNet-style blocks, which receive two hidden state inputs and produce new hidden states as outputs Our search space contains five branch-level search fields (input, normalization, layer, output dimension and activation), one block-level search field (combiner function) and one cell-level search field (number of cells).