강의

N
챌린지

멘토링

N
클립

로드맵

AI Technology

/

Deep Learning & Machine Learning

Hands-On Machine Learning 2

This course covers the content of the Amazon bestseller <Hands-On Machine Learning, 2nd Edition>. You will learn various machine learning algorithms and evaluation methods using Scikit-Learn, a representative machine learning library. Additionally, you will build a foundation in both theory and practice, ranging from artificial neural networks to reinforcement learning, using the most famous deep learning libraries, TensorFlow and Keras. This course is not yet complete. One to two lectures will be added every week.

(4.7) 56 reviews

6,623 learners

Level Basic

Course period Unlimited

  • haesunpark
Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Keras
Keras
Reinforcement Learning(RL)
Reinforcement Learning(RL)
Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Keras
Keras
Reinforcement Learning(RL)
Reinforcement Learning(RL)
Thumbnail
News list
haesunpark님의 프로필 이미지
haesunpark

"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!

Comment

Free