Deep Learning - Computer Vision for Beginners Using PyTorch - Installing PyTorch

What are the two main features of PyTorch mentioned in the video?

• Tensor operations on CPU and manual gradient calculation

• Tensor operations on GPU and autograd

• Data visualization and model deployment

• Data preprocessing and model evaluation

What is required to access Google Colab for free?

• An invitation code

• A CUDA-enabled GPU

• A Google account

• A paid subscription

How can you enable GPU support in a Google Colab notebook?

• By selecting GPU in notebook settings

• By using a specific URL

• By installing additional software

• By upgrading to a premium account

Where are the notebooks saved when using Google Colab?

• On a USB drive

• In the cloud storage of the user's choice

• On the local hard drive

• In the Google Drive under 'Colab Notebooks'

What is the main advantage of using Google Colab for this course?

• It provides unlimited storage

• It offers free GPU resources

• It allows offline access

• It requires no internet connection

What is the first step in installing PyTorch locally?

• Configuring the local network

• Purchasing a license

• Visiting the official PyTorch website

• Downloading the source code

How can you verify that PyTorch is installed correctly on a local system?

• By running a diagnostic tool

• By running a sample neural network

• By checking the system's task manager

• By importing the torch library and printing its version