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Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT's Core Transformer) [Data Analysis/Science Part 3]

This is a newly designed course that allows you to gradually learn the mathematics, theory, PyTorch-based implementation, transfer learning, and GPT's core transformer needed to understand deep learning, based on the instructor's own failed experiences when first learning deep learning.

(4.9) 97 reviews

1,707 learners

Level Basic

Course period Unlimited

  • funcoding
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network
Vision Transformer
Vision Transformer
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network
Vision Transformer
Vision Transformer
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[Share] New course open (Fastest full stack: Python Backend FastAPI Bootcamp)

Hello. This is Dave Lee from Janjaemi Coding.
The reason is that we are opening the following new lectures on Infraon and sharing them with you.

Fastest Full Stack: Python Backend FastAPI Bootcamp (From FastAPI to Async SQLAlchemy) [Full Stack Part 1-2]

Previously, the fastest full-stack roadmap included a lecture explaining the Flask backend framework. Flask is the easiest backend framework to learn with Python, but recently, FastAPI, which has faster performance, has become the trend. In GPTs (making your own GPT), which has recently become popular, there are many examples based on FastAPI when backend functions are needed. It is a framework that is widely used globally. That's why I created the FastAPI lecture.

FastAPI has a similar grammar to Flask, so even if you only lightly learned Flask, you can quickly learn it. The tests are very easy, they run right away, and the performance is especially good. However, there weren't many well-organized materials on the subject. So I organized the lectures by focusing on the most frequently used functions as much as possible, and by going through several stages of the project, I designed the lectures so that you can quickly make the related technology your own .

The existing Flask lecture was designed to help you learn Python intermediate grammar and web technologies, and to build basic backend knowledge. This FastAPI lecture is designed to help you quickly learn FastAPI grammar based on related technologies, so that you can learn related technologies more quickly than before. Therefore, the existing Flask lecture is structured as Full Stack Part 1-1, and this FastAPI lecture is structured as Full Stack Part 1-2.

With FastAPI, you can implement decent backend functions that can support a certain scale even when you need your own simple service or backend functions, even faster. It is a framework that will become a trend in Python as a backend. I have also offered the maximum discount in the hope that it will be more widely known. I hope this lecture will be satisfactory.

If you have any issues while taking the class, please let us know at dream@fun-coding.org and we will address them as quickly as possible.

thank you

 

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