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Releases: ritchieng/deep-learning-wizard

LLM Section Release

26 Feb 12:34
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Highlights

Cleaned all sections and included new Apptainer guide for HPC compute containerization and LLM introduction and hyperparameter tuning with Gemma 7b (Google) model.

Sections and Subsections

Cleaned Stable Release

03 Oct 02:09
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Highlights

Cleaned documentation, code, and website with a particular emphasis on sections and subsections to demarcate tutorials for ease of learning and ensure scalability in their respective sections.

Sections and Subsections

Stable Deep Learning Tutorials Release

First Release of Deep Learning Wizard Materials

08 Nov 14:03
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About This Release

After careful deliberation, I have decided to gradually open-source our written deep learning materials that I have used to teach more than 3000 students worldwide across 120 countries through my video course, Practical Deep Learning with Pytorch.

As this is a very new effort to open-source my materials, it's still a work-in-progress. Please bear with me while I clean it up.

This repository powers the main open-source Deep Learning Wizard website www.deeplearningwizard.com and contains the materials for the following topics.

Topics Covered

  • PyTorch Fundamentals - Matrices
  • PyTorch Fundamentals - Gradients
  • PyTorch Fundamentals - Linear Regression
  • PyTorch Fundamentals - Logistic Regression
  • PyTorch Fundamentals - Feedforward Neural Network

Always Latest PyTorch Version

We always provide the latest PyTorch version (currently 0.4 or 1.0 pre-release) so that you will be learning up-to-date code!

About Deep Learning Wizard

We deploy a top-down approach that enables you to grasp deep learning theories and code easily and quickly. We have open-sourced all our materials through our Deep Learning Wizard Wikipedia. For visual learners, feel free to sign up for our video course and join over 2300 deep learning wizards.

To this date, we have taught thousands of students across more than 120+ countries from students as young as 15 to postgraduates and professionals in leading MNCs and research institutions around the world.

Contribution

We are openly calling people to contribute to this repository for errors. Feel free to create a pull request.