Deep Learning for Beginners: Core Concepts and PyTorch

Get an Intuitive Understanding of Deep Learning and Artificial Intelligence
4.63 (231 reviews)
Udemy
platform
English
language
Other
category
instructor
Deep Learning for Beginners: Core Concepts and PyTorch
1 652
students
9.5 hours
content
Jul 2024
last update
$29.99
regular price

Why take this course?

🌟 Dive into Deep Learning for Beginners: Core Concepts and PyTorch 🌟


Course Headline:

Get an Intuitive Understanding of Deep Learning and Artificial Intelligence 🚀


Course Description:

🤔 Have you ever felt...

If you've experienced any of these, you're not alone! Many aspiring learners feel this way. But fear not, because this course is designed for absolute beginners like you. 🎉


What You'll Learn in This Course:

In this course:

  • We start with the basics, assuming as little prior knowledge as possible. No engineering or computer science background? No problem! Basic Python knowledge is all you need to get started. 🐍

  • We'll take the time to "reinvent" a deep neural network from scratch, so you can truly understand the underlying mechanics. This hands-on approach will make the concepts of Deep Learning much more tangible and less intimidating. ⚛️

  • We'll build a basic neural network using PyTorch and PyTorch Lightning, and then train an MNIST model for recognizing handwritten digits – a classic example in the field of machine learning. 📚


After Taking This Course:

After completing this course, you’ll:

  • Gain an intuitive understanding of Deep Learning, leaving you confident to explore more complex topics in AI. 🧠

  • Find that you can follow and understand previously challenging courses like those by Andrew Ng or Jeremy Howard with greater ease. 🎓

  • Be able to understand the work of leading experts such as Geoffrey Hinton and Andrej Karpathy, opening up a world of advanced AI knowledge. 💫

  • Possess both theoretical and practical understanding to delve into more sophisticated neural network architectures like CNNs, RNNs, transformers, etc. 🤖

  • Start experimenting with your own AI projects using PyTorch and Supervised Learning techniques. 🚀


Who Is This Course For?

This course is perfect for you if you are:

  • Interested in Deep Learning and PyTorch but struggling with the core concepts. 🎯

  • Someone transitioning from a non-engineering background into an engineering career, eager to learn the fundamentals. 👩‍💼✨

  • Looking to advance your knowledge of Deep Learning and PyTorch beyond the basics. 📈

  • Already working with Deep Learning models but seeking to supercharge your understanding and application. 🏗️

  • A Python Developer aiming to advance your career by mastering PyTorch and Deep Learning concepts. 🚀


What You Get:

This comprehensive 9.5-hour course includes:

  • In-depth teaching on all the basic concepts of Deep Learning.

  • Practical application of your knowledge with hands-on projects and exercises.

  • 40 downloadable resources to complement your learning experience.

  • Full lifetime access to the course materials – learn at your own pace! 🕒

  • A 30-Day Money-Back Guarantee, ensuring you're satisfied with your purchase.

  • A Certificate of Completion to add to your professional portfolio and resume. 🏆


So, ready to take a deep dive into the exciting world of Deep Learning? Enroll now and embark on a journey that will transform how you think about – and implement – AI solutions! 🌊✨

Course Gallery

Deep Learning for Beginners: Core Concepts and PyTorch – Screenshot 1
Screenshot 1Deep Learning for Beginners: Core Concepts and PyTorch
Deep Learning for Beginners: Core Concepts and PyTorch – Screenshot 2
Screenshot 2Deep Learning for Beginners: Core Concepts and PyTorch
Deep Learning for Beginners: Core Concepts and PyTorch – Screenshot 3
Screenshot 3Deep Learning for Beginners: Core Concepts and PyTorch
Deep Learning for Beginners: Core Concepts and PyTorch – Screenshot 4
Screenshot 4Deep Learning for Beginners: Core Concepts and PyTorch

Loading charts...

4127896
udemy ID
16/06/2021
course created date
08/07/2021
course indexed date
Bot
course submited by