Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

https://yangx.top/DataScienceQ

Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

https://yangx.top/DataScienceQ

Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

https://yangx.top/DataScienceQ

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Question 3 (Advanced):
In reinforcement learning, what does the term “policy” refer to?

A) The sequence of rewards the agent receives
B) The model’s loss function
C) The strategy used by the agent to decide actions
D) The environment's set of rules

#ReinforcementLearning #AI #DeepRL #PolicyLearning #ML

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

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✅ By: https://yangx.top/DataScienceQ