Well, MLPs work great in classification problems.
The reason we used CONV layers earlier is that MLPs lose a lot of valuable information when trying to extract features from the image, because we have to flatten the image before feeding it to the network.
CONV layers can process raw images. Now that we have the features extracted, we can use regular MLPs to classify them.
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The following metrics were computed from 39 interview experiences for the Google Software Development Engineer (SDE) role in Bengaluru, Karnataka.
Google's interview process for their Software Development Engineer (SDE) roles in Bengaluru, Karnataka is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Google's Software Development Engineer (SDE) interview process in Bengaluru, Karnataka.