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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

Good. The first round was quite difficult. There were two coding questions. I solved the first one, but I couldn't solve the second one. I would say it was a good experience. I am looking forward to future opportunities.

Good seeking top talent across the globe. Crazy innovations and top-notch tech should have experience. It's one time then leave, or start your own company. It would be a much better option.