What is Deep Learning Art? How to use Deep Learning AI?

Deep Learning Art uses artificial intelligence (AI) to recognize complex patterns in images and text. From here, creating new images that are more artistic or similar to the analyzed model is possible.

Deep Learning Art is a very interesting topic, right? If so, do you want to learn about it with AZcoin?

What is Deep Learning?

First, let’s learn about the concept of Deep Learning. According to what we have gathered, this is a method in the field of artificial intelligence (AI). This method is often used to teach computers to process data the way humans process data.

In other words, with Deep Learning we can allow computers to recognize many complex patterns in images, text, sounds, and other data to create insights and accurate predictions. From here, many products from this technology were born, such as:

• Digital assistant.
• Voice-activated TV remote control.
• Fraud detection.
• Automatic face recognition.
• Create art with popular applications like Midjourney AI Art, Leonardo AI,…

From the above applications, Deep Learning models are divided into four main categories: computer vision, speech recognition, natural language processing (NLP), and recommendation engines.

What is Deep Learning Art?

From the previous information, we have Deep Learning Art, an application branch of Deep Learning technology used in the field of art. This is also the branch that makes the most use of artificial intelligence’s ability to extract data from images and videos.

Accordingly, using Deep Learning Art will be the process of giving intelligent sample image data, which are painting-style images that you want to simulate. From here you have two directions to request artificial intelligence:

• Initialize an image with any description according to the painting style analyzed from the sample image.
• Submit an original image and request to transform it according to the painting style analyzed from the sample image.

In addition to the two requirements above, you can also take advantage of the sample images that the AI has learned and ask it to create based on those images.

One thing to note is that works created from Deep Learning Art may have certain defects, depending significantly on the requirements and content you let the AI collect.

Why do we need to use Deep Learning Art?

If you are wondering why we need to use Deep Learning in the field of painting, here are the benefits it can bring:

• Full automation allows the creation of new features from a limited number of features right in the training data without having to be done by humans.
• Good self-learning ability, allowing you to perform more complex and specialized tasks, thereby creating more interesting creations.
• Saves significantly more money and time than learning and creating your works of art yourself.
• Good scalability allows for better analysis and understanding of input data, thereby creating more beautiful and unique works.
• Easy to use, easy to get used to, especially for individuals who do not have enough time, skills, or knowledge of painting.

However, AI artworks at present are still facing a lot of criticism as well as controversy from real artists about their copyright.

How to use Deep Learning AI in art?

To be able to use Deep Learning AI to create works of art is quite simple, as you just need to follow these steps:

• Step 1: Search and access any AI application that allows creating and posting image content.
• Step 2: Collect sample image content with the painting style you want to create.
• Step 3: Provide and load these sample image contents for the AI application to analyze.
  • Step 3.1: Enter an original image and request to redraw this original image based on the analyzed sample image content, trying to request as much detail as possible.
  • Step 3.2: Request to redraw an image using the analyzed painting style to create a new image as requested, trying to be as detailed as possible.
• Step 4: Wait for the image processing and initialization process to take place.
• Step 5: After the image has been initialized, it can be requested to be edited and added to help improve AI’s Deep Learning capabilities.

Conclusion

So this is also the end of all the content that we can synthesize and share with you on the topic of Deep Learning Art. Hope you enjoy this content and see you again in other content at AZcoin.