Learning AI doesn't necessarily require you to be able to draw, but learning AI painting usually requires some basic drawing knowledge and skills. Here are some of the basics you need to learn AI painting:
Fundamentals of drawing: Understand basic drawing techniques such as line, color, composition, light and dark relationships, etc. This will help you better understand and apply AI painting tools and techniques.
Color theory: Master the basic principles and matching techniques of color. Learn about the properties of color (e.g., hue, saturation, lightness) and how to use color to convey emotions and themes.
Fundamentals of Computer Graphics: Understand the basics of computer graphics, such as pixels, resolution, bit depth, etc. This will help you understand the process of processing and generating digital images.
Fundamentals of deep learning: AI painting usually involves deep learning techniques. Therefore, it is necessary to learn the basics of deep learning such as neural networks and convolutional neural networks (CNNs).
Programming skills: Familiarity with at least one programming language (e.g., Python) is important for implementing AI painting algorithms and model training. In addition, it is helpful to understand commonly used deep learning frameworks (e.g., TensorFlow, PyTorch).
If you want to improve your professional and technical skills, I recommend signing up for a training course.
In this issue, I have listed a number of star educational institutions in the industry, and you can have an in-depth understanding
Wang's Education
It has been open for many years and has almost zero negatives, and the national campuses are all face-to-face teaching, and students have free retake services. Those who are worried about this and that, who are afraid that it is not guaranteed, and who are afraid that they will not be able to learn, can consider this.
cgwang
Look at the name, the king of the CG world? The name "Two Brushes" is not to be made fun of, but the reality is that this training institution has been in operation for more than 20 years and has campuses all over the country. And their student works from more than 10 years ago have not been surpassed by many peers now.
Zhima teaching
The recorded class is well done, the software technology is updated quickly, the teaching quality is high, and the platform updates the teacher's course cases and students' practice homework in real time every day.
Goo
Vocational education is an institution that truly connects the closed loop of education and entry, so it is reasonable to have a reputation.
As for whether the false empathy effect can be explained by AI painting, the false empathy effect is when people overestimate the consistency of others' views with their own. AI painting itself does not directly explain the false empathy effect, but it can be explored indirectly through some creative experiments or research.
For example, you can design an experiment in which participants use AI painting tools to create a painting and then estimate how much the other participants like the painting. By analyzing the discrepancies between participants' estimates and actual results, you can explore how the false empathy effect manifests itself in artistic creation and aesthetic judgment.
It should be noted, however, that this exploration may be more of a creative attempt than a rigorous scientific explanation. The false empathy effect is a complex psychological phenomenon that involves multiple factors such as cognitive biases, social influences, and personal motivation. Therefore, while AI painting can be an interesting tool to aid research, it may not be the best or only way to explain the false empathy effect.
To sum up, learning AI painting usually requires some basic knowledge and skills of painting, but learning AI itself does not necessarily require drawing ability. While AI painting can be used to indirectly explore psychological phenomena such as the false empathetic effect, it may not be the best tool to explain these phenomena. A better approach is to combine theories and methods from psychology, cognitive science, and other related fields to conduct a comprehensive analysis.