Deep Learning - Computer Vision for Beginners Using PyTorch - What Is CUDA

Deep Learning - Computer Vision for Beginners Using PyTorch - What Is CUDA

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Information Technology (IT), Architecture, Engineering

University

Hard

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The video tutorial introduces CUDA, a parallel computing architecture by NVIDIA, highlighting its ability to enhance computing performance by utilizing GPUs for mathematical calculations. It guides viewers on enabling GPU in Google Colab, using the Torch CUDA package for GPU computation, and checking GPU availability and details. The tutorial also covers identifying the assigned GPU's name, specifically the NVIDIA Tesla series, provided by Google Colab for learning purposes.

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5 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is CUDA and how does it enhance computing performance?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the process of enabling GPU in a collab notebook.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you check if a CUDA enabled GPU is available?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What does the output of 'torch.cuda.device_count()' indicate?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the significance of the NVIDIA Tesla series in deep learning.

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