From the course: Deep Learning with Python: Convolutional Neural Networks

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Using the exercise files

Using the exercise files - Python Tutorial

From the course: Deep Learning with Python: Convolutional Neural Networks

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Using the exercise files

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- [Instructor] This course is delivered using GitHub code spaces, 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 building convolutional neural network models 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 available on GitHub are organized by branches. Let's take a look at an example. The files in the 0104 branch are what we use in the fourth video of the first chapter. So these are the files that are in this folder. We have two notebooks for each of the lesson videos. The 0104B notebook is the beginning notebook. This notebook has no code in the code sales, usually to practice writing the code we go over in the lesson videos. The…

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