Deep Learning for Everyone - Basic Machine Learning and Deep Learning Course

Preview the lecture before taking it 😉

Watching the match between AlphaGo and Lee Sedol, I realized that machine learning can surpass humans in intuition and decision-making, both of which are inherently human domains, given sufficient data. Indeed, as Professor Andrew Ng has said, if you can master machine learning and master its capabilities, you'll possess a true superpower.

We've prepared video lectures to help more people understand machine learning and deep learning and use these powerful tools to solve their own problems. Furthermore, we've gone beyond the theoretical aspects and included practical implementations using TensorFlow, Google's recently released open-source machine learning framework. We've strived to make these machine learning and deep learning courses accessible to anyone without prior knowledge of mathematics or computer science.

People like this will like it 😉

This course is open to anyone with an interest in AI, even if they don't know the first thing about it. Don't feel pressured; take the course whenever you want to learn!

• Anyone interested in artificial intelligence
• Anyone who wants to understand the concepts of machine learning and deep learning
• Those who want to implement machine learning themselves

Let me tell you this.

Core fundamental concepts of machine learning

We've covered the definition of machine learning and summarized essential information you need to know before learning machine learning, including regression, classification, and the basic structure of TensorFlow.

Linear Regression

We will learn about linear regression, one of the essential concepts for understanding deep learning, and explore cost functions in linear regression, linear regression with multiple inputs, and implement them in actual TensorFlow.

Logistic Regression

Learn the definition of logistic regression, which requires deciding between two options, and implement it in real TensorFlow code.

ML in Practice and Some Tips

Learn the concepts needed to practically use machine learning and process data.

Core Fundamental Concepts of Deep Learning

Learn about the core concepts of deep learning.

Neural Network

Learn the basic concepts of neural networks, the foundation of deep learning, and explore core neural networks such as RNNs and CNNs.

Please note before taking the class!

This video was created while studying on the Internet and other sources, and I used a lot of the materials below.

• Andrew Ng's and other ML tutorials
  • https://class.coursera.org/ml-003/lecture
  • http://www.holehouse.org/mlclass/ (note)
  • Deep Learning Tutorial
• Convolutional Neural Networks for Visual Recognition.
  • http://cs231n.github.io/
• Tensorflow
  • https://www.tensorflow.org
  • https://github.com/aymericdamien/TensorFlow-Examples
  • Deep learning @Udicity