How to Get Started with DeepSchool.io: A Beginner’s Guide

Jun 15, 2021 | Data Science

Are you ready to dive into the exciting world of Deep Learning without a headache? Welcome to DeepSchool.io! In this blog post, we’ll guide you through the process of getting started, installing the necessary software, and troubleshooting common issues. Let’s make Deep Learning practical and fun!

Goals of DeepSchool.io

  • Make Deep Learning easier with minimal code.
  • Minimise the required mathematics.
  • Ensure practicality for running on laptops.
  • Encourage open-source Deep Learning learning.
  • Foster a collaborative community around Deep Learning.
  • Make Deep Learning fun and interactive with memes!

How to Get Started

1. Sign Up for the Udemy Course

Start your learning journey by taking the Udemy Course on Machine Learning. Use the code DEEPSCHOOL-MARCH to get an incredible 85% off the course!

2. Installation Steps

DeepSchool.io runs all its notebooks on Google Colab. Follow these simple steps:

  1. Get a Google account.
  2. Click on this link to access the Google Drive folder.
  3. Navigate to the DL-Keras folder or any other topic of your interest.
  4. Double click on the notebook and select ‘open with Colaboratory’ (ensure you’re signed into your Google account).
  5. Change the runtime to Python 3 and GPU by clicking on the ‘Runtime’ tab at the top.

Now you’re all set to explore Deep Learning!

Understanding the Content Structure

The resources available in DeepSchool.io are organized in the following categories:

  • Data Science (e.g., Pandas)
  • Deep Learning (Keras)
  • Bayesian Learning (PyMC3)

Think of each folder as a different room in a library, each containing books and resources dedicated to its specific subject. You can explore whichever room interests you the most, whether it’s the complex world of Deep Learning or the foundational knowledge of Data Science.

Troubleshooting Common Issues

If you encounter any issues while following these steps, here are some troubleshooting tips:

  • Ensure you’re logged into your Google account when trying to access Google Colab.
  • If a notebook doesn’t load, refresh your browser or try a different browser.
  • For runtime issues, ensure you’ve selected the correct Python runtime and GPU in the settings.
  • If the link to the Google Drive folder is not working, make sure that it hasn’t been changed or the permission settings haven’t been altered.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Join the Community

Join discussions or ask questions on the DeepSchool-io Slack channel. Use this link to request an invitation.

Watch Video Tutorials

Check out the corresponding video tutorials on our YouTube playlist. Note that not all notebooks have a dedicated video, but it’s a great resource to complement your learning!

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Now that you’re equipped with the necessary steps and insights, it’s time to embark on your Deep Learning adventure with DeepSchool.io! Happy learning!

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