Explain about Connectionist Temporal Loss
Computer Vision Interview Questions
1,052 computer vision interview questions shared by candidates
What is your last difficulty that you had ?
- Number all of the connected components in a matrix. - What is the complexity of the above function you wrote? - What parts of the neural network take up the most memory? - What is L1 Loss? What is L2 Loss? - What loss can you use to help mitigate an imbalanced dataset? (There were many more questions like this. Remarkably few were CV specific. For example, there were no questions on network architecture, CNNs, etc...)
Deep learning basic knowledge, a couple leetcode, and deep learning task
Explain your most favorite project you've done in your PG.
Tensor Flow, About Dropouts, Model Training AWS use case -- with TWO faces and how to Detect the Face...AWS Beanstalk, AWS DynamoDB.... Computer Vision --- More about the works and Model Training, Metrics used, False Positive, False Negative....
Coding round: Find the square root of a number.
First part was talking about my experiences in terms of building backend pipelines, computer vision algorithms, 3D reconstruction concepts and general software engineering. The second part was more theoretical questions dealing with machine learning, mathematics, training models and linear algebra.
My flexibility with going for site deployments and testing.
Number of neurons in a neural network for a gray scale and RGB image?
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