Google

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 ne

Resume shortlisting: 3 interview rounds were conducted. All rounds were technical, with one "Googlyness" round. Each interview lasted 45 minutes and involved live coding in front of the interviewer. The "Googlyness" round focused on work culture.

The interview is great. First, your resume score must be 100 percent to be selected at Google. They take so many rounds and ask so many questions. They are asking LeetCode medium and hard questions; they will not ask easy ones.