Udemy – Deep Learning for Beginners: Core Concepts and PyTorch 2023-5

Udemy – Deep Learning for Beginners: Core Concepts and PyTorch 2023-5 Downloadly IRSpace

Apr 17, 2025 - 20:11 Updated: Apr 21, 2025 - 10:14

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Udemy – Deep Learning for Beginners: Core Concepts and PyTorch 2023-5

Deep Learning for Beginners course: Core Concepts and PyTorch. This course is built to save you months of effort and frustration in understanding deep learning. After completing this course, you will feel prepared to tackle more advanced and newer topics in artificial intelligence. in this period:

We assume as little prior knowledge as possible. No engineering or computer science background required (except basic knowledge of Python). Don’t know all the math needed for deep learning? no problem. We will go through all of them together, step by step.
We will “reconstruct” a deep neural network so that you have a deep understanding of its inner workings. This will make you more comfortable and intuitive with deep learning.
We also build a simple neural network from scratch in PyTorch and PyTorch Lightning and train a MNIST model for handwriting recognition.

After completing this course:

Eventually, you’ll feel like you have an intuitive understanding of deep learning and expand your knowledge with more confidence.
If you go back to popular courses that you previously had trouble understanding (such as Andrew Ng’s or Jeremy Howard’s Fast.ai course), you’ll be surprised at how much more understanding you’ll gain.
You will be able to understand the words of experts like Jeffrey Hinton in articles or Andrey Karpati’s speech on Tesla Autonomy Day.
To begin exploring more advanced neural network architectures such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Transformers, etc., and begin your journey to the edge of AI, supervised and unsupervised learning, and more, you are well equipped with You will understand both practical and theoretical.
You can start experimenting with your AI projects using PyTorch and supervised learning.

This course is suitable for you if:

Interested in deep learning and PyTorch but struggling with core concepts.
You are a person with a non-engineering background who is transitioning to an engineering career.
You are familiar with the basics but want to explore more advanced knowledge.
You’re already working with deep learning models, but you want to dramatically improve your understanding.
Are you a Python developer looking to advance your career?

What you will learn in Deep Learning for Beginners: Core Concepts and PyTorch course

Develop an intuitive understanding of deep learning
Visual and intuitive understanding of the core mathematical concepts behind deep learning
An overview of how deep neural networks work in detail
Computational graphs (on which libraries such as PyTorch and TensorFlow are built)
Building neural networks from scratch using PyTorch and PyTorch Lightning
You’ll be ready to explore the cutting edge of artificial intelligence and more advanced neural networks like CNN, RNN, and transformers.
You can understand what deep learning experts are talking about in articles and interviews
You can start testing your artificial intelligence projects using PyTorch

This course is suitable for people who

Students who want to learn deep learning for the first time
Beginners who want to finally understand deep learning on an intuitive level
Professionals are looking to increase their understanding of deep learning principles