# Preparation

Before the course start, you should be familiar with:

* our [Opencampus.sh Mattermost Chat](https://chat.opencampus.sh/)
* the Coursera platform and the [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning)
* the [Tensorflow](https://www.tensorflow.org/) framework

What would be very beneficial for this course (but not mandatory, you will learn it anyway during the course):

* knowledge of [numpy](https://numpy.org/) and [opencv python](https://opencv.org/course-opencv-python/) packages
* knowing how to work with images in python
* knowing what a convolution is


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/preparation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.