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.
6,824 learners
Level Basic
Course period Unlimited
Inflearn Challenge Guide for *Deep Learning with Python, 3rd Edition*, by the Creator of Keras
Hello, this is Haeseon Park.
As mentioned earlier, the <Deep Learning with Keras, 3rd Edition> Complete Reading Challenge (https://inf.run/H3pU3) is now open!
To celebrate the launch, it is currently 30% off. If you participate in the Complete Reading Challenge, you will receive the following benefits.
You can follow along with the free YouTube course <Deep Learning with Python, 3rd Edition> (to be created) at your own pace.
<Deep Learning with Python, Third Edition, from the Creator of Keras: Code Walkthrough> Inflearn paid course (coming soon) offering a free coupon (worth 90,000 won)
<Learn LLM by Building from Scratch> Inflearn paid course(https://inf.run/WjvTL)50% discount coupon provided (worth 45,000 won)
<Machine Learning, Get to the Core Quickly!> Inflearn paid course (https://inf.run/1cv1q)50% discount coupon provided (worth 20,000 won)
<Large Language Models, Learn the Essentials Quickly!> Inflearn paid course(https://inf.run/njgW2)50% discount coupon provided (worth 20,000 won)
Additional benefits upon completing the challenge
Upon completing the challenge, you will receive 20,000 points that can be used like cash on the Gilbut website (Thank you to Gilbut Publishing for sponsoring the points.)
Would you like to take on the Deep Learning Complete Reading Challenge together? I’ll be back with the challenge lecture videos~ :)
Free




