Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation in PyTorch

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10 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the first step to use the resources available in PyTorch?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How do you import the Numpy library in the context of this implementation?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the purpose of converting data to tensors in PyTorch?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the significance of setting the batch size in data loading.
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the structure of the classification model defined in the text.
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the role of the optimizer in training a neural network?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the loss function contribute to the training process?
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