What is the main advantage of using Batch Normalization in deep learning models?
Anonymous Quiz
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a) It reduces the need for GPUs
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b) It speeds up training and stabilizes learning
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c) It completely eliminates vanishing gradients
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d) It replaces the need for activation functions
Which technique is used to train AI models with limited labeled data by leveraging a large, unlabeled dataset?
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a) Supervised learning
67%
b) Semi-supervised learning
33%
c) Reinforcement learning
0%
d) Overfitting
What is the primary role of the "Softmax" function in a neural network?
Anonymous Quiz
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a) Convert continuous values into binary outputs
50%
b) Normalize output probabilities for multi-class classification
50%
c) Reduce overfitting in deep learning models
0%
d) Improve the efficiency of backpropagation
Which deep learning model architecture is widely used for Natural Language Processing (NLP)?
Anonymous Quiz
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a) CNN
0%
b) RNN
50%
c) Transformer
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d) SVM
Which AI model is primarily used for generating human-like text in chatbots and virtual assistants?
Anonymous Quiz
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a) CNN
0%
b) LSTM
100%
c) GPT (Generative Pre-trained Transformer)
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d) Random Forest
What is the main purpose of the "Gradient Clipping" technique in deep learning?
Anonymous Quiz
0%
a) To increase the learning rate dynamically
100%
b) To prevent exploding gradients in neural networks
0%
c) To enhance the weight initialization process
0%
d) To remove the need for batch normalization
Which type of neural network is most suitable for time-series forecasting?
Anonymous Quiz
0%
a) CNN
100%
b) RNN
0%
c) GAN
0%
d) Autoencoder
Which technique is used in Transformers to handle long-range dependencies in text?
Anonymous Quiz
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a) Pooling
100%
b) Attention Mechanism
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c) Convolution
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d) Dropout
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Which loss function is most commonly used for object detection tasks in AI?
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a) Mean Squared Error (MSE)
50%
b) Binary Cross-Entropy
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c) Huber Loss
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d) Intersection over Union (IoU) loss
What is the key advantage of using self-supervised learning in AI models?
Anonymous Quiz
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a) Eliminates the need for training data
50%
b) Requires minimal labeled data by leveraging unlabeled data
50%
c) Only works with structured datasets
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d) Speeds up hardware processing
Which type of reinforcement learning algorithm uses a value function to estimate future rewards?
Anonymous Quiz
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a) Policy Gradient Methods
50%
b) Q-Learning
50%
c) Genetic Algorithms
0%
d) Transformer Networks
Which technique is used in Variational Autoencoders (VAEs) to ensure meaningful latent space representations?
Anonymous Quiz
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a) Max pooling
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b) Kullback-Leibler (KL) divergence loss
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c) Dropout regularization
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d) Weight initialization
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Which of the following is true about Java’s Garbage Collection?
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a) It manually deallocates memory
67%
b) It removes unused objects automatically
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c) It requires explicit calls to free memory
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d) It runs only when JVM is restarted
Which Java keyword is used to prevent method overriding?
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a) static
20%
b) abstract
20%
c) Final
0%
d) protected