Question 5 (Intermediate):
In a neural network, what does the ReLU activation function return?

A) 1 / (1 + e^-x)
B) max(0, x)
C) x^2
D) e^x / (e^x + 1)

#NeuralNetworks #DeepLearning #ActivationFunctions #ReLU #AI

Question 6 (Advanced):
Which of the following attention mechanisms is used in transformers?

A) Hard Attention
B) Additive Attention
C) Self-Attention
D) Bahdanau Attention

#Transformers #NLP #DeepLearning #AttentionMechanism #AI

Question 10 (Advanced):
In the Transformer architecture (PyTorch), what is the purpose of masked multi-head attention in the decoder?

A) To prevent the model from peeking at future tokens during training
B) To reduce GPU memory usage
C) To handle variable-length input sequences
D) To normalize gradient updates

#Python #Transformers #DeepLearning #NLP #AI

✅ By: https://yangx.top/DataScienceQ

Question 11 (Expert):
In Vision Transformers (ViT), how are image patches typically converted into input tokens for the transformer encoder?

A) Raw pixel values are used directly
B) Each patch is flattened and linearly projected
C) Patches are processed through a CNN first
D) Edge detection is applied before projection

#Python #ViT #ComputerVision #DeepLearning #Transformers

✅ By: https://yangx.top/DataScienceQ

Question 24 (Advanced - NSFW Detection):
When implementing NSFW (Not Safe For Work) content detection in Python, which of these approaches provides the best balance between accuracy and performance?

A) Rule-based keyword filtering
B) CNN-based image classification (e.g., MobileNetV2)
C) Transformer-based multimodal analysis (e.g., CLIP)
D) Metadata analysis (EXIF data, file properties)

#Python #NSFW #ComputerVision #DeepLearning

✅ By: https://yangx.top/DataScienceQ

Question 25 (Advanced - CNN Implementation in Keras):
When building a CNN for image classification in Keras, what is the purpose of Global Average Pooling 2D as the final layer before classification?

A) Reduces spatial dimensions to 1x1 while preserving channel depth
B) Increases receptive field for better feature extraction
C) Performs pixel-wise normalization
D) Adds non-linearity before dense layers

#Python #Keras #CNN #DeepLearning

✅ By: https://yangx.top/DataScienceQ

Question 30 (Intermediate - PyTorch):
What is the purpose of torch.no_grad() context manager in PyTorch?

A) Disables model training
B) Speeds up computations by disabling gradient tracking
C) Forces GPU memory cleanup
D) Enables distributed training

#Python #PyTorch #DeepLearning #NeuralNetworks

✅ By: https://yangx.top/DataScienceQ