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Home>Courses>Deep Learning with PyTorch Step-by-Step: Part I - Fundamentals

Deep Learning with PyTorch Step-by-Step: Part I - Fundamentals

Delve into PyTorch basics: autograd, model classes, datasets, and data loaders. Gain insights into model development while avoiding common pitfalls. Start creating and training your own PyTorch models.

Beginner

92 Lessons

8h

Certificate of Completion

Delve into PyTorch basics: autograd, model classes, datasets, and data loaders. Gain insights into model development while avoiding common pitfalls. Start creating and training your own PyTorch models.
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This course includes

184 Playgrounds
20 Quizzes
Course Overview
Course Content
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Course Overview

This course is designed to provide you with an easy-to-follow, structured, incremental, and from-first-principles approach to learning PyTorch. In this course, you’ll be introduced to the fundamentals of PyTorch: autograd, model classes, datasets, data loaders, and more. You will develop, step-by-step, not only the models themselves but also your understanding of them. You'll be shown both the reasoning behind the code and how to avoid some common pitfalls and errors along the way. By the time you finish th...Show More
This course is designed to provide you with an easy-to-follow, structured, incremental, and from-first-principles approach to learning PyTorch. In this course, you’ll be introduced to the fundamentals of PyTorch: autograd, model classes, datasets, data loa...Show More

Course Content

1.

Introduction

2 Lessons

Get familiar with PyTorch's pythonic nature and foundational concepts designed for beginners.

7.

Conclusion

1 Lessons

Build on your deep learning skills by exploring further and staying engaged.

8.

Appendix

2 Lessons

Get familiar with setting up Jupyter notebooks and running TensorBoard for deep learning tasks.

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