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I applied via Company Website and was interviewed in Aug 2020. There was 1 interview round.
Deep in deep learning refers to the multiple layers of neural networks used to process complex data.
Deep learning involves multiple layers of artificial neural networks
These layers allow for the processing of complex data such as images, speech, and natural language
The depth of the network allows for more accurate predictions and classifications
Examples of deep learning applications include image recognition, speech re
No, the deepness of a model depends on the complexity of the problem and the number of abstract features it needs to learn.
The number of layers and neurons can affect the performance and accuracy of the model, but it's not the only factor.
A simple problem may require only a few layers and neurons, while a complex problem may need more.
The deepness of a model can also be influenced by the type of layers used, such as co...
I applied via Facultyplus and was interviewed before Dec 2020. There was 1 interview round.
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