Deep Learning with PyTorch

PyTorch Interview questions to prepare for data science related interviews.

Q.1 What is PyTorch?
PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
Q.2 How do you import PyTorch into Anaconda?
Here are the steps:
1. Download and install Anaconda (Go with the latest Python version).
2. Go to the Getting Started section on the PyTorch website.
3. Specify the appropriate configuration options for your particular environment.
4. Run the presented command in the terminal to install PyTorch.
Q.3 Can PyTorch run on Windows?
Yes, PyTorch 0.4.0 supports Windows
Q.4 What is Cuda in PyTorch?
torch.cuda is used to set up and run CUDA operations. It keeps track of the currently selected GPU, and all CUDA tensors you allocate will by default be created on that device.
Q.5 What is the difference between Anaconda and Miniconda?
Anaconda is a set of about a hundred packages including conda, numpy, scipy, ipython notebook, and so on. Miniconda is a smaller alternative to Anaconda.
Q.6 How do you check GPU usage?
1. Use the Windows key + R keyboard shortcut to open the Run command. 2. Type the following command to open DirectX Diagnostic Tool and press Enter: dxdiag.exe. 3. Click the Display tab. 4. On the right, under "Drivers," check the Driver Model information.
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