JkBk
  • Member for 3 years, 2 months
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1 answers
11 votes
17k views
Optimizer for Convolutional neural network
Accepted answer
9 votes

Yes, you can use the same optimizers you are familiar with for CNNs. I don't think that there is a best optimizer for CNNs. The most popular in my opinion is Adam. However some people like to use a ...

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1 answers
9 votes
3k views
When does decision tree perform better than the neural network?
9 votes

Neural Networks, in my experience have several hyper-parameters (number of layers, neurons per layer, activation functions, optimizers, regularizers, etc.) and are very hard in finding the best ...

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2 answers
4 votes
38 views
What is the benefit of using Max pooling in convnets as opposed to just using convolution layers? (from Francois Chollet's Deep Learning with Python)
3 votes

Max pooling layers are useful for two things: undersampling the dimensions of their input, to reduce model parameters and also reduce overfitting increasing the robustness of the model to small ...

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2 answers
5 votes
622 views
What is difference between intersection over union (IoU) and intersection over bounding box (IoBB)?
Accepted answer
2 votes

The Intersection over Bounding Box is the Intersection over Union (IoU) for object detection tasks, where you have a bounding box. There are many tasks (e.g. image segmentation) where you have an IoU ...

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