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All Discussions

How would you choose the value of k in k-nearest neighbor classification?
How would you choose the value of k in k-means clustering.?
What are some of the algorithms for feature selection?
Why do we use feature selection?
Developing the prototype of a fraud detection model?
What happens if we don’t apply feature scaling to logistic regression?
What are the basic assumptions to be made for linear regression?
Pros and cons of FFT-based convolution and Winograd-based convolution.
How can a fully-connected layer be converted to a convolutional layer?
Use a base model trained on ImageNet for an object classification task
Replace a normal convolutional layer with a depthwise separable convolutional
What happens when you use max-pooling instead of average pooling?
What does a 1x1 convolutional layer do?
Why do we need upsampling? How to do it?
What is the role of zero padding?
The number of channels be for the first conv layer when use CNNs for text data
Convolutional layers are also known as “locally connected.”
How do you choose the ideal filter size in CNN?
Decrease or increase its filter size in CNN
Visualizations for neural networks like VGG-19, InceptionNet

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