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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) 73 reviews

4,868 learners

Level Basic

Course period Unlimited

  • haesunpark
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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"LLM & AI with PyTorch" Book Publication and Event Announcement

Hello. I'm Haesun Park.

It's been a while, but I'm happy to announce the publication of a new book.

<AI and Machine Learning for Coders> author Laurence Moroney's new book <Llama 2 and Beyond: A Guide to LLMs with PyTorch> has been published!

The previous book focused on deep learning applications using the TensorFlow ecosystem. This book uses PyTorch instead of TensorFlow and focuses on generative AI, such as LLMs and diffusion models. It is now available at online and offline bookstores! The e-book has also been released! 🙂

I have created a short video summarizing what's new compared to the previous edition. Share this video on your social media, and five winners will be selected to receive a copy of from Hanbit Media! You must register on the Google Form after sharing it on social media. Please refer to the instructions below!

  • Video URL to share: https://youtu.be/vEwY31kDtl4

  • Please register the SNS URL where your shared content can be viewed in the Google Form (https://forms.gle/9CMP37YMugpkA8G96).

  • If you cannot register the URL address, please upload a screenshot instead.

  • Event Period: 3/5 (Thu) ~ 3/13 (Fri)

  • Winner Announcement: 3/16 (Mon) (Winners will be contacted individually)

The books will be sent directly by Hanbit Media.

We look forward to your participation.

Thank you!

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