Setting Up the Environment - Installing Python and Libraries

Before diving into Deep Learning, it's essential to set up your development environment with Python and the necessary libraries. In this section, we will guide you through the installation process step by step.

Step 1: Install Python

Python is a popular programming language that provides the foundation for many Deep Learning frameworks and libraries. Follow these instructions to install Python:

Download Python from the official website: https://www.python.org/downloads/

Step 2: Verify Python Installation

After installing Python, it's important to verify that the installation was successful. Open a terminal or command prompt and enter the following command:

python --version

Step 3: Install Deep Learning Libraries

To work with Deep Learning, we need to install specific libraries that provide the necessary tools and functionalities. The most commonly used libraries are TensorFlow and PyTorch. Follow these steps to install the libraries:

3.1 Installing TensorFlow

pip install tensorflow

3.2 Installing PyTorch

pip install torch

These commands will install the latest versions of TensorFlow and PyTorch along with their dependencies.

Step 4: Verify Library Installation

To ensure that the libraries are installed correctly, we can verify their installations. Open a Python shell by typing "python" in the terminal or command prompt, and then execute the following commands:

import tensorflow as tf
import torch

print(tf.__version__)
print(torch.__version__)

Congratulations! You have successfully set up your environment for Deep Learning. You are now ready to explore the exciting world of Deep Learning and unleash the power of Python and its libraries.