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In current implementation, the layers in a neural network can be connected in a line. However, state-of-the-art CNN models such as GoogleNet, layers are connected in computation graph - a directed acyclic graph.
Thus, like other deep neural network frameworks such as Caffe, dolphin-dnn should train neural network models that consist of layers connected in a DAG.
The text was updated successfully, but these errors were encountered:
In current implementation, the layers in a neural network can be connected in a line. However, state-of-the-art CNN models such as GoogleNet, layers are connected in computation graph - a directed acyclic graph.
Thus, like other deep neural network frameworks such as Caffe,
dolphin-dnn
should train neural network models that consist of layers connected in a DAG.The text was updated successfully, but these errors were encountered: