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"High Accuracy with Fewer Parameters—GoogLeNet’s Efficient Inception Design"
What do you like best about GoogLeNet?
it achieves high accuracy while using fewer parameters, thanks to its Inception modules. This makes it faster and more computationally efficient compared to earlier deep networks. Review collected by and hosted on G2.com.
What do you dislike about GoogLeNet?
One downside of GoogLeNet is that its architecture is fairly complex to understand and implement compared to simpler models like VGG. The Inception modules have multiple parallel operations, which can make debugging and modifying the network more difficult.
It also requires careful tuning of its structure, and although it’s efficient, training it can still be computationally intensive depending on the dataset and hardware Review collected by and hosted on G2.com.
