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Adagrad AI Interview Questions and Answers

Updated 18 Aug 2023

Adagrad AI Interview Experiences

2 interviews found

Interview experience
2
Poor
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Feb 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Some OpenCV problems

Round 3 - Technical 

(2 Questions)

  • Q1. Why are activation functions used
  • Ans. 

    Activation functions are used to introduce non-linearity into neural networks, allowing them to learn complex patterns and relationships.

    • Activation functions help neural networks to learn complex patterns and relationships by introducing non-linearity.

    • They help in controlling the output of a neuron, ensuring that it falls within a desired range.

    • Common activation functions include ReLU, Sigmoid, Tanh, and Leaky ReLU.

    • Wit...

  • Answered by AI
  • Q2. What is learning rate
  • Ans. 

    Learning rate is a hyperparameter that controls how much we are adjusting the weights of our network with respect to the loss gradient.

    • Learning rate determines the size of the steps taken during optimization.

    • A high learning rate can cause the model to overshoot the optimal weights, while a low learning rate can result in slow convergence.

    • Common learning rate values are 0.1, 0.01, 0.001, etc.

    • Learning rate can be adjuste...

  • Answered by AI
Round 4 - One-on-one 

(3 Questions)

  • Q1. What is the difference between CNN and RNN
  • Ans. 

    CNN is used for image recognition while RNN is used for sequence data like text or speech.

    • CNN is Convolutional Neural Network, used for image recognition tasks.

    • RNN is Recurrent Neural Network, used for sequence data like text or speech.

    • CNN has convolutional layers for feature extraction, while RNN has recurrent connections for sequential data processing.

    • CNN is good at capturing spatial dependencies in data, while RNN i...

  • Answered by AI
  • Q2. Is Logloss function differentiable
  • Ans. 

    Yes, Logloss function is differentiable.

    • Logloss function is differentiable as it is a smooth and continuous function.

    • The derivative of Logloss function can be calculated using calculus.

    • Differentiability is important for optimization algorithms like gradient descent to converge smoothly.

    • Example: The derivative of Logloss function for binary classification is (predicted probability - actual label).

  • Answered by AI
  • Q3. Questions on YOLO models

Interview Preparation Tips

Interview preparation tips for other job seekers - Even if you are fresher. Expect very advanced experienced level questions to be asked

Skills evaluated in this interview

Top Adagrad AI Computer Vision Engineer Interview Questions and Answers

Q1. Rotate an image in your choice of language
View answer (1)

Computer Vision Engineer Interview Questions asked at other Companies

Q1. Can you train model using MATLAB for image classifications?
View answer (1)

I applied via LinkedIn and was interviewed in Oct 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Assignment 

Implement a model improvement using a C++ API of Pytorch.

Round 3 - One-on-one 

(2 Questions)

  • Q1. Rotate an image in your choice of language
  • Ans. 

    To rotate an image in Python, use the Pillow library's rotate() method.

    • Import the Image module from the Pillow library

    • Open the image using the open() method

    • Use the rotate() method to rotate the image by the desired angle

    • Save the rotated image using the save() method

  • Answered by AI
  • Q2. A breadth first search problem
  • Ans. 

    Breadth first search problem

    • BFS is a graph traversal algorithm that visits all the vertices of a graph in breadth-first order

    • It uses a queue to keep track of the nodes to be visited next

    • BFS can be used to find the shortest path between two nodes in an unweighted graph

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Questions based on my past jobs, past experience and behaviour.

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't leave any gaps in your knowledge, as far as you can see. Don't mention topics you're not in full control of.

Skills evaluated in this interview

Top Adagrad AI Computer Vision Engineer Interview Questions and Answers

Q1. Rotate an image in your choice of language
View answer (1)

Computer Vision Engineer Interview Questions asked at other Companies

Q1. Can you train model using MATLAB for image classifications?
View answer (1)

Jobs at Adagrad AI

View all

Interview questions from similar companies

I applied via Campus Placement and was interviewed before May 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. TELL ME ABOUT YOURSELF

Interview Preparation Tips

Interview preparation tips for other job seekers - JUST BE YOURSELF

I applied via Campus Placement and was interviewed before Feb 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Hr

Interview Preparation Tips

Interview preparation tips for other job seekers - You should be true to what you are putting before the interviewer . Try to put your ideas Add something you did well in your career like in projects /research which you know very well and versed in concepts about it for open interview so that interviewer can get bandwidth where he can ask questions from. This is simply a key .

I applied via Campus Placement and was interviewed before Jul 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Description of project
  • Ans. 

    The project involved designing and implementing a new network infrastructure for a large corporation.

    • Conducted a thorough analysis of the existing network infrastructure

    • Designed a new network architecture that met the company's needs

    • Implemented the new network infrastructure with minimal disruption to business operations

    • Tested and optimized the new network to ensure optimal performance

    • Provided ongoing support and maint

  • Answered by AI
  • Q2. Your previous experince

Interview Preparation Tips

Interview preparation tips for other job seekers - Well prepare for your resume

I applied via Walk-in and was interviewed before Feb 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Its for FP&A process and the major questions were from the basics of FP&A. How it starts and how its ends and Previous job roles.

Interview Preparation Tips

Interview preparation tips for other job seekers - It's quite a moderate interview but be prepare for more rounds of technical interviews.

I applied via Campus Placement and was interviewed before Jun 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Simple program
  • Q2. I wrote a simple program in C

Interview Preparation Tips

Interview preparation tips for other job seekers - Be bold and confident

I applied via Referral and was interviewed before Jun 2020. There were 5 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. My expected tenure, education, technical insights

Interview Preparation Tips

Interview preparation tips for other job seekers - Good

I applied via Campus Placement and was interviewed before Nov 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Concepts of Oops

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare with basic concepts of OOPS.Explain final year project.
Be confident.

I applied via Referral and was interviewed before Mar 2021. There were 2 interview rounds.

Round 1 - Aptitude Test 

Very easy

Round 2 - HR 

(2 Questions)

  • Q1. What are your strengths and weaknesses?
  • Q2. Tell me about yourself.

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep up your aptitude and you will surely make it.

Adagrad AI Interview FAQs

How many rounds are there in Adagrad AI interview?
Adagrad AI interview process usually has 4 rounds. The most common rounds in the Adagrad AI interview process are Resume Shortlist, One-on-one Round and Assignment.
How to prepare for Adagrad AI interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Adagrad AI. The most common topics and skills that interviewers at Adagrad AI expect are Analytics, Computer Vision, C++, Data Analytics and Deep Learning.
What are the top questions asked in Adagrad AI interview?

Some of the top questions asked at the Adagrad AI interview -

  1. Rotate an image in your choice of langu...read more
  2. What is the difference between CNN and ...read more
  3. Why are activation functions u...read more

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Adagrad AI Interview Process

based on 2 interviews

Interview experience

3.5
  
Good
View more

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Adagrad AI Reviews and Ratings

based on 12 reviews

4.3/5

Rating in categories

4.2

Skill development

3.6

Work-life balance

4.0

Salary

4.2

Job security

4.0

Company culture

4.1

Promotions

4.1

Work satisfaction

Explore 12 Reviews and Ratings
Pre - Sales Engineer

Pune

5-8 Yrs

Not Disclosed

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