Great work-life balance, good peers, and decent learning.
No, I can't think of any.
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
The interview process consists of 5 rounds: * A phone call round. * Two rounds of live problem-solving. * Final rounds of on-site interviews at the office, or conducted remotely upon special request.
There were 5 interviews: * 4 DSA rounds * 1 culture fitment round In each DSA round, you can be asked any number of questions, depending on your speed to solve the problems. In one of the rounds, I was asked 3 questions. Some rounds were very easy
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
The interview process consists of 5 rounds: * A phone call round. * Two rounds of live problem-solving. * Final rounds of on-site interviews at the office, or conducted remotely upon special request.
There were 5 interviews: * 4 DSA rounds * 1 culture fitment round In each DSA round, you can be asked any number of questions, depending on your speed to solve the problems. In one of the rounds, I was asked 3 questions. Some rounds were very easy