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

This video tutorial provides a comprehensive guide on setting up a system for a deep learning course. It covers the installation of Jupyter Notebook using Anaconda, launching the notebook, and organizing files. The tutorial also includes a step-by-step process to create and run a basic Python program, ensuring the setup is functional. The course encourages hands-on practice and offers flexibility in choosing system environments.

What are the two main tools used for teaching in this course?

• RStudio and MATLAB

• PyCharm and Visual Studio Code

• Jupyter Notebook and Google Colab

• Eclipse and NetBeans

Which distribution is recommended for installing Jupyter Notebook?

• Pip

• Miniconda

• Anaconda

• Homebrew

What is the first step in installing Jupyter Notebook using Anaconda?

• Configure environment variables

• Install Python separately

• Download Anaconda

• Run the Jupyter command

How do you verify the installation of Jupyter Notebook?

• By opening a web browser

• By launching Jupyter Notebook from Anaconda prompt

• By running a Python script

• By checking the system logs

What command is used to launch Jupyter Notebook?

• jupyter start

• jupyter run

• jupyter open

• jupyter notebook

What is the purpose of creating a new folder in Jupyter Notebook?

• To change the theme

• To update Jupyter Notebook

• To install additional packages

• To organize code files

What is the expected output of the first Python program run in the course?

• AI is the Future

• Deep Learning Rocks

• Welcome to Python

• Hello World