J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Google (Bengaluru) en janv. 2018
Entretien
Well, MLPs work great in classification problems. The reason we used CONV layers earlier is
that MLP 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, whereas CONV layers
can process raw images. Now that we have the features extracted, we can use regular MLPs to
classify them.
Questions d'entretien [1]
Question 1
Q : Tell me about yourself.
Q: Questions on Graphs and Trees
Applied got email from someone I don’t think they are actual Google recruiters, they send assessment link once completed even pass, they say will update to Google recruiter and come back by saying not selected. Feel whole process something not right
hr reached out after 6 months, asking for your transcript then scheduled interview, had one BQ and one coding problem. will inform the result after 3 dayshr reached out after 6 months, asking for your transcript then scheduled interview, had one BQ and one coding problem. will inform the result after 3 days
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