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Deep Learning & Machine Learning

Do It! Introduction to Deep Learning

This lecture guides readers to deep learning with the most appropriate pace and straight direction, one step from concept to formula and one step from coding. In addition, there are over 100 graphs, illustrations, and diagrams, so you can easily and quickly accept abstract concepts. Another unique feature of this lecture is that you can start practicing right away by simply accessing a web browser without installing a program. After comfortably understanding the theory, you can directly code and conquer four representative deep learning problems with your eyes, so it is not lacking as a textbook for deep learning. The concepts or terms that you must go over are reviewed twice in the ‘Wait! Let’s move on to the next’ corner in the middle of the text and the ‘Memory Card’ corner at the end of the chapter to increase the learning effect. Let’s quickly overcome deep learning head-on with ‘Do it! Introduction to Deep Learning.’

(4.9) 81 reviews

5,021 learners

Level Basic

Course period Unlimited

Deep Learning(DL)
Deep Learning(DL)
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network
Deep Learning(DL)
Deep Learning(DL)
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network
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haesunpark님의 프로필 이미지
haesunpark

“Deep Learning with Python, 3rd Edition,” by the creator of Keras, has been published!

Hello, this is Haeseon Park!

It’s been a while. I’m pleased to share news of a new book release and the launch of a challenge.

The third edition of <Deep Learning from the Keras creator>, the translated edition of the renowned Deep Learning with Python written by François Chollet, has been published!

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The 3rd edition of *Deep Learning with Python* has been updated for Keras version 3 and includes instructions and code examples for using TensorFlow, PyTorch, and JAX as backends. In addition to changes to Keras, you can build and practice with the latest models—including transformers, LLMs, and diffusion models—to keep up with recent advances in generative AI.

It is currently available for preorder at online bookstores. [Kyobo Bookstore] [Yes24] [Aladin]

We’re launching an Inflearn book-completion challenge to coincide with the publication of <Deep Learning from the Creator of Keras, 3rd Edition>! In this challenge, we’ll read the book together over 10 weeks and complete it. By joining the challenge, you’ll be able to take the paid course on <Deep Learning from the Creator of Keras, 3rd Edition> for free, as well as receive 50% discount coupons for other paid courses! Don’t miss this incredible opportunity to learn about deep learning and large language models.

  • Those who have previously purchased my paid courses (not the challenge) will receive a 50% discount coupon when the challenge opens. Please wait for the email!

The <Deep Learning with Python, Third Edition> challenge is currently under review, and registration will open on Friday, September 18. After recruiting participants for three weeks, the challenge will run for 10 weeks, from October 11 to December 19. I’ll let you know again when registration opens.

Thank you! :)

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