Topic List

Recommended Projects

Deep Learning Interview Guide

Topic modeling using K-means clustering to group customer reviews

Have you ever thought about the ways one can analyze a review to extract all the misleading or useful information?...

Natural Language Processing
Deep Learning Interview Guide

Medical Image Segmentation With UNET

Have you ever thought about how doctors are so precise in diagnosing any conditions based on medical images? Quite simply,...

Computer Vision
Deep Learning Interview Guide

Build A Book Recommender System With TF-IDF And Clustering(Python)

Have you ever thought about the reasons behind the segregation and recommendation of books with similarities? This project is aimed...

Machine LearningDeep LearningNatural Language Processing
Deep Learning Interview Guide

Automatic Eye Cataract Detection Using YOLOv8

Cataracts are a leading cause of vision impairment worldwide, affecting millions of people every year. Early detection and timely intervention...

Computer Vision
Deep Learning Interview Guide

Crop Disease Detection Using YOLOv8

In this project, we are utilizing AI for a noble objective, which is crop disease detection. Well, you're here if...

Computer Vision
Deep Learning Interview Guide

Vegetable classification with Parallel CNN model

The Vegetable Classification project shows how CNNs can sort vegetables efficiently. As industries like agriculture and food retail grow, automating...

Machine LearningDeep Learning
Deep Learning Interview Guide

Banana Leaf Disease Detection using Vision Transformer model

Banana cultivation is a significant agricultural activity in many tropical and subtropical regions, providing a vital source of income and...

Deep LearningComputer Vision
Deep Learning Interview Guide

Build Regression Models in Python for House Price Prediction

Ever wondered how experts predict house prices? This project dives into exactly that! Using Python, we'll build regression models that...

Machine Learning
Deep Learning Interview Guide

Nutritionist Generative AI Doctor using Gemini

Want to enhance your nutrition skills? The Nutritionist Generative AI Doctor, which employs the Gemini model, is here for you....

Generative AI
Deep Learning Interview Guide

Optimizing Chunk Sizes for Efficient and Accurate Document Retrieval Using HyDE Evaluation

This project demonstrates the integration of generative AI techniques with efficient document retrieval by leveraging GPT-4 and vector indexing. It...

Natural Language ProcessingGenerative AI
Loading...

Neural Networks in TensorFlow QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Which of the following is NOT a benefit of using batch normalization?

Question: 2

What is the primary purpose of using activation functions in neural networks?

Question: 3

What is the primary purpose of using Leaky ReLU activation function?

Question: 4

Which of the following activation functions is NOT symmetric around the origin?

Question: 5

Which of the following initialization strategies involves sampling weights from a uniform distribution?

Question: 6

What is the primary purpose of using batch normalization along with dropout layers in a neural network?

Question: 7

Which of the following activation functions is prone to the "dying ReLU" problem?

Question: 8

Which initialization strategy involves setting all weights to zero?

Question: 9

What is the primary purpose of using dropout layers in neural networks?

Question: 10

Which activation function is commonly used for multi-class classification tasks in the output layer of a neural network?

Question: 11

What is the primary purpose of using Xavier (Glorot) initialization?

Question: 12

Which of the following is a technique used to prevent the saturation of neurons and speed up the training of deep neural networks?

Question: 13

What is the main drawback of using the sigmoid activation function?

Question: 14

Which of the following initialization strategies is designed to address the vanishing/exploding gradient problem?

Question: 15

Which initialization strategy involves sampling weights from a Gaussian distribution with zero mean and a specified variance?

Question: 16

Which of the following is NOT a commonly used activation function in neural networks?

Question: 17

What does the dropout rate represent in a dropout layer?

Question: 18

Which of the following is a purpose of using an activation function in a neural network?

Question: 19

What does the 'ReLU' activation function stand for?

Question: 20

Which of the following is a drawback of using the ReLU activation function?

Question: 21

Which activation function is preferred for the output layer of a binary classification neural network?

Question: 22

Which of the following initialization strategies is commonly used for neural network weights?

Question: 23

Which layer type is used to prevent overfitting by randomly dropping units during training?

Question: 24

What is the primary purpose of batch normalization in neural networks?

Question: 25

Which of the following activation functions is not continuous and differentiable?

Question: 26

Which of the following is a common strategy to determine the initial learning rate in training neural networks?

Question: 27

What is the primary purpose of using weight initialization techniques in neural networks?

Question: 28

Which of the following activation functions is NOT bounded?

Question: 29

What is the primary purpose of using L1 and L2 regularization techniques in neural networks?

Question: 30

Which of the following is a common technique used to address the vanishing gradient problem?