Stylumia Computer Vision Intern Interview Questions and Answers

Kaggle challenge on Image classification with noisy labels

Q1. What is softmax loss? Why can't it be used in hidden layers?
Ans. 
Softmax loss is a function used in classification tasks to calculate the probability distribution of classes. It cannot be used in hidden layers due to its non-differentiability.
• Softmax loss is used in the output layer of neural networks for multi-class classification tasks.

• It calculates the probability distribution of classes by normalizing the output scores using the softmax function.

• Softmax loss is not used in hidde...read more
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Q2. Explain previous projects in Machine Learning
Ans. 
Developed a project using convolutional neural networks for image classification.
• Implemented CNN architecture for image classification tasks

• Used popular frameworks like TensorFlow or PyTorch

• Trained the model on large datasets like CIFAR-10 or ImageNet
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Q3. Bias variance tradeoff
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Interval scheduling problem from DP