From the course: Deep Learning with Python: Optimizing Deep Learning Models

Using the exercise files - Python Tutorial

From the course: Deep Learning with Python: Optimizing Deep Learning Models

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Using the exercise files

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- [Instructor] This course is delivered using GitHub Codespaces, a development environment hosted in the cloud. You won't have to install packages or set up anything. It's all done for you in the environment. The best way to become proficient in optimizing the deep learning model in Python is to practice doing so yourself. The exercise files you need for this course will be provided to you in the course GitHub repo. This means that you can follow along with any of the code examples in the lessons. I recommend that you do so. The exercise files are available on GitHub and they are organized by branches. Let's take a look at an example. The files in the 02_03 branch are what we use in the third video of the second chapter. We have two notebooks for each of the lesson videos. The 02_03b notebook is the beginning notebook. This is a notebook you should code in when following along with a lesson video. The 02_03e notebook is the ending notebook. It is a completed version of the beginning notebook for your reference. This is a notebook I will execute during the coding example video. Let's jump in.

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