![]() ![]() In the next section, we will proceed to understand the methodology of the working of the neural style transfer model and most of the significant concepts related to it. ![]() The viewers can check out the TensorFlow article from this link and the Keras blog from the following link. If the viewer doesn't have detailed information on any of these libraries, I would recommend checking them out from two of my previous blogs that cover these entire topics in enormous detail. We will discuss more on the methodology of its working in the next section of this article.įor following along with the rest of the article, working with deep learning frameworks such as TensorFlow and Keras is an essential requirement. Each of the layers of a convolutional neural network contains several of these computational units where they have a collection of image filters, each of which extracts a certain feature from the input image. They consist of layers of small computational units with which they can process visual information hierarchically in a feed-forward manner. We are introduced to a class of deep neural networks that can effectively compute most image processing tasks in the convolutional neural networks. In 2015, with the introduction of " A Neural Algorithm of Artistic Style" research paper, the scene of artworks with AI and deep learning blew up. However, until recently, there wasn't a lot of attention paid to the artistic innovations that were possible with neural networks. There has been tremendous improvement in the fields of face recognition and object detection, where techniques such as one-shot learning are employed to obtain the best results with ease. We can generate unique artwork by mixing up two or more images together to create something new and creative. One of the most fun applications of artificial intelligence recently is the art of neural style transfer. In the second method, we will use a pre-trained model that is available in TensorFlow Hub to obtained the desired results. In the first method, we will develop the entire architectural build of neural style transfer from scratch. For the development of this project, we will discuss two methods. We will develop a simple project using this neural style transfer method. ![]() We will then proceed to breakdown neural style transfer along with the basic conceptual understanding of this algorithm. In this article, we will cover the introduction to some of the underlying concepts behind the approach. ![]() You can check out this article from the following link. An example is the face generation with GANs, where we are creating realistic faces of humans that have never existed. We have explored the capabilities of these competing neural networks to engage against each other while consistently improving to produce high-quality results. In our previous articles, we have looked into the working procedures of Generative Adversarial Networks (GANs). There is a wide range of unique tasks in the field of art that AI can successfully accomplish. However, as of recently, Artificial Intelligence has emerged to be one of the unique ways of image styling, designing, and working with art. The creative works of art such as paintings, sculptures, model designing, architecture designing, and other works of art were sold for high-profit margins at auctions since the renaissance. The type of art one was able to generate with their skills and mixture of artistic styles bound an intrigue amount audiences and enthusiasts of the field and other business contractors. The styling of images to create modern and unique art has always been a perspective of interest for a few centuries. ![]()
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