Welcome to the setup guide for the Deep Learning Specialization! This document will guide you through the necessary steps to get started with the course materials and software.
Prerequisites
Before you begin, ensure you have the following prerequisites:
- A basic understanding of Python programming.
- Familiarity with machine learning concepts.
- Access to a computer with Python installed.
Software Installation
To run the course exercises, you will need the following software:
Python
Make sure you have Python installed on your computer. The course supports Python 3.x. You can download it from the official Python website.
Jupyter Notebook
Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Install it from the official Jupyter website.
TensorFlow
TensorFlow is an open-source machine learning framework developed by Google Brain. Install it using pip:
pip install tensorflow
Other Libraries
The course also requires several other Python libraries. You can install them using the following command:
pip install numpy matplotlib scikit-learn pandas
Virtual Environment
It is recommended to use a virtual environment to manage your project dependencies. Create a virtual environment and activate it:
python -m venv myenv
source myenv/bin/activate # On Windows, use myenv\Scripts\activate
Install the required libraries within the virtual environment:
pip install -r requirements.txt
Starting the Course
Now that you have the necessary software installed, you can start the course by visiting our course website.
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Additional Resources
For more information and resources, check out the following links:
Happy learning! 🎓