The culture, work, and everything.
Haven't found any cons yet.
It was a moderate, first-round basic graphs question. The second round featured DP and graph questions. Overall, the level was moderate. The third round also focused on basics and these topics; I don't remember the exact question.
Very slow. It took a very long time. Not worth it, in my opinion. There are better companies than Google. Use your time better elsewhere. They lowball anyway. Better companies are elsewhere.
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
It was a moderate, first-round basic graphs question. The second round featured DP and graph questions. Overall, the level was moderate. The third round also focused on basics and these topics; I don't remember the exact question.
Very slow. It took a very long time. Not worth it, in my opinion. There are better companies than Google. Use your time better elsewhere. They lowball anyway. Better companies are elsewhere.
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