Technical Interview - Focuses on Deep Learning Fundamentals - I had a deep learning project on my resume,lot of questions around it - Dataset distribution - Model Used - Did I do any Data Augmentation? Would it be useful in this application? - Losses of this model - How would I improve accuracy ? Few other questions - 1 What is regularisation in DL ? Explain L2 regularisation? 2. Explain overfitting , drop out layers.
explain the fullstack project on your resume, folder structure and tests
1) What are Different ways to perform Data Augmentation.. 2)Detailed Question based on projects that you have done..
HR general questions such as why us, strengths and weakness .. Had a live code with images.
What model would you choose for X task, why? What hyperparameters would you change and why.
Some common questions on ML and DL
Are you ready to work extra-hours ?
Probability question: need to know combinations
Not selected for interview after written test
Explain your project
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