Question: Consider the following embedding layer: model=Sequential() model.add (Embedding(input_dim=10000, output_dim=8, input_length=100)) The number of tuneable parameters in the embedding layer is Select one: a. 80000 b.

Consider the following embedding layer: model=Sequential() model.add (Embedding(input_dim=10000, output_dim=8, input_length=100)) The

Consider the following embedding layer: model=Sequential() model.add (Embedding(input_dim=10000, output_dim=8, input_length=100)) The number of tuneable parameters in the embedding layer is Select one: a. 80000 b. 1000000 C. 8000000 d. 800

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