[Deep Learning Expert Course DL1101] Python Level 1 for Deep Learning

Learn the essentials of deep learning from the basics with Python!

Orientation video

Learning 4 Deep Learning Project Curriculum 📑

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The basics of deep learning!

As I teach deep learning, I find that people from diverse fields and majors are interested in learning deep learning. So, can we all start deep learning together? Unfortunately, no.

To get started with deep learning , you need to start with basic knowledge and skills related to this field.

The most fundamental skill in deep learning is programming . And the programming language we need to learn is Python . Many people attempt to learn deep learning without a solid foundation in this fundamentals.

• Scipy
• Scikit-learn
• OpenCV
• TensorFlow
• PyTorch

Many people begin deep learning without mastering the fundamentals of Python, simply learning the APIs provided by the libraries and frameworks mentioned above. This approach quickly runs into limitations when attempting to tackle real-world projects.

This course is designed to help you focus solely on deep learning without being swayed by the fundamentals.

How to learn programming

I understand that fundamentals are important, but how should I learn Python? To answer this question, I'll ask the following questions.

Do you memorize entire grammar books to become fluent in English conversation? Probably not many people do. Just because you know grammar doesn't mean you'll be fluent in English! Isn't the most effective way to learn English conversation to speak English frequently , even if it means using simple grammar?

Being fluent in English means being able to express your thoughts well in English , not just knowing English grammar. And Python is a language like English .

Memorizing a grammar book to learn Python is like memorizing an entire English grammar book and hoping to become fluent in English conversation. Just as learning English conversation is crucial, it's crucial to frequently converse with computers , and being able to convey your thoughts to them is essential for becoming a good programmer.

And computers are ready to talk to you even now. Through this lecture, you will have more conversations with computers than anyone else in the future.

Lecture Features

So what topics should we talk about with computers? We learn Python to learn deep learning . That means we need to have many conversations with computers about topics covered in deep learning . In fact, in the lecture, we will cover the following essential topics in deep learning along with Python. Let's learn.

Throughout the course, you'll engage in numerous conversations using basic grammar to become proficient at communicating with computers. This is something I always say when teaching programming.

You will continue to practice repeatedly with the essential knowledge you need to learn deep learning .

Through these exercises, by the end of the lecture, you will be able to

• You will gain confidence in programming
• You will have the amazing experience of the keyboard sticking to your hands.
• You will become familiar with the basic items used in deep learning .

Deep learning, like any other specialized field , isn't something you can master in a short period of time . If you're new to deep learning and try to skim through it and achieve results with a project, you're likely to end up with a negative relationship with the subject.

Jumping into deep learning without a solid foundation and out of impatience is like running a marathon with shackles on your feet. What happens in the long run between someone who starts running with their shackles off and someone who starts running with shackles on their feet?

This course aims to guide you in the "difficult but right direction" to become a deep learning expert .