Three levels of learning

Three levels of learning

Three levels of learning

Three levels of learning

Three levels of learning

There are three levels of learning in the machine learning process:

Level 1: Simple learning by filling in data according to what you know.

Users may think that they have enough knowledge or copy data from others, but they do not understand what it means. When the results are negative or not as expected, they think that AI is bad. This is similar to having a good camera or a sharp sword but not knowing how to use it, so you think the manufacturer is bad.

Level 2: Having practical knowledge and understanding a lot, but not knowing the mechanism of operation and the language of the machine learning model.

This will give rise to two reactions:

1. Also think that the machine is not good enough to express human thoughts.
2. Have already understood the problem that you need to learn the language of communication with the machine.

Level 3: Having practical knowledge, well-read, communicating with the machine, but still not creating a unique style

The products created are clearly influenced by the style of others because they do not understand the mechanism of operation of the machine (Machine Learning).

The importance of understanding machine learning

The method of learning that I share with everyone does not teach any commands or create any effects, but is about Deep Learning and Machine Learning. It focuses on understanding how AI works. This is very important because it helps you to understand the principles and theoretical basis of AI algorithms and models, so that you can make rational decisions in selecting, fine-tuning, and applying AI tools to specific problems.

When you just sit back and rely on the settings-commands of the manufacturer, you will not be able to understand the mechanism of operation of AI to go further and control the results that are not in accordance with the process, standards of a design.

Learning from a solid foundation is to take humans as the foundation to understand the mechanism of operation of machines. When you understand the mechanism of operation of AI, you will be able to deal with any AI in the future, whether you like it or not.

Look at the results of the images below, each of which has a completely different operating mechanism that cannot be written by ordinary data. When you understand machine learning, you will be able to control the chaos of each layer of the image, create results to your liking, and control the negative and positive parts of the image at the input.

Conclusion

Machine learning and language-data are the core systems in learning about AI technology, in addition to professional knowledge. The things you can copy, whether with AI or not, are only a result. When you grasp the core, the result is just a speck of dust in the process of going further.