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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

‘Hands-On Machine Learning: The PyTorch Edition’ has been published!

Hello, this is Haeseon Park.

A new book has been published, and I’m excited to share the news. It’s the PyTorch edition of , the best-selling machine learning book in the world!

입체표지.jpg

Even better news is that the Inflearn Challenge for <Hands-On Machine Learning: PyTorch Edition> is being prepared! The challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) is currently accepting applications. In particular, everyone who signs up for the challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) will receive a free coupon for the challenge for <Hands-On Machine Learning: PyTorch Edition>. Both books come with useful lectures, so don’t miss this opportunity to master the best books in machine learning and deep learning all at once! The challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) is accepting applications until October 10. Once registration closes, you will not be able to sign up for the challenge later (this is not possible due to the Inflearn system, and there is nothing I can do to help).

Then I hope to see you in the challenge and the challenge. Thank you! :)

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