Introduction to PyTorch Deep Learning for

  • BeginnerLevel

  • 1 hrs 0 minsDuration

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About this Course

  • Learn PyTorch from scratch, explore tensors, build and train deep learning models, and master key techniques for model evaluation and optimization.
  • Get hands-on experience with PyTorch, understand neural networks, work with real datasets, and develop practical deep learning solutions.
  • Master deep learning concepts with PyTorch, from building simple models to training complex architectures, all through guided coding exercises.

Learning Outcomes

PyTorch Basics

Understand tensors, autograd, and core PyTorch concepts.

Model Building

Learn to design, train, and evaluate deep learning models.

Neural Networks

Implement and optimize various neural network architectures.

Real-World Projects

Apply PyTorch to solve practical deep learning problems.

Get this Course Now

With this course you’ll get

  • 60 hour

    Duration

  • Kunal Jain

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility

Frequently Asked Questions

Looking for answers to other questions?

This course is designed for anyone who wants to learn PyTorch. So if you’re a newcomer to deep learning and aren’t sure which framework to pick up, this course is for you!

Absolutely! We have designed the course in a way that will cater to newcomers and beginners. We start from scratch to get you onboard the PyTorch bandwagon and take things forward from there.

This course is free of cost!

Once you register, you will have 6 months to complete the course. If you visit the course 6 months after your initial registration, you will need to enroll in the course again. Your past progress will be lost.

You can complete the “Introduction to PyTorch for Deep Learning” course in a few hours. You are also expected to apply your knowledge of PyTorch and learning of this course to solve deep learning problems. The time taken in projects varies from person to person.

That’s great! The next step in your journey should be all about learning deep learning concepts. Take the Computer Vision using Deep Learning course and start applying PyTorch on the concepts taught there.

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