Introduction to PyTorch for Deep Learning

BeginnerLevel
7229+Students Enrolled
31 MinsDuration
5Average Rating

About
Learning Outcomes
Who Should Enroll
Course Curriculum
Instructors

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.

Who Should Enroll

Aspiring Data Scientists: Build practical deep learning skills with PyTorch to solve real-world data problems.
AI/ML Enthusiasts: Explore deep learning concepts, train models, and enhance your PyTorch expertise.
Software Developers: Learn to implement and deploy neural networks using PyTorch for production-ready systems.

Course Curriculum

Explore PyTorch fundamentals, learn to build and train neural networks, work with datasets, master backpropagation, and optimize models. Gain hands-on experience through real-world projects and coding exercises to solidify your deep learning skills.

1. Getting Started with PyTorch
2. Why should we use PyTorch?
3. Mathematical Operations in PyTorch(vs. NumPy)

1. Getting started with Neural Networks
2. Understanding Forward Propagation
3. Error and Reason for Error

1. Modules in PyTorch - Autograd
2. Modules in PyTorch: Optim
3. Modules in PyTorch: nn

Meet the instructor

Our instructor and mentors carry years of experience in data industry

Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

31 Mins
Duration
Kunal Jain
Instructor
Beginner
Level

Certificate of completion

Earn a professional certificate upon course completion

Industry-Recognized Credential
Career Advancement Credential
Shareable Achievement

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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