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Neural networks are popular for image processing in today’s world. It can produce images as the output layer in a machine learning model. The output layer has all the desired features that you want in your image. Once you learn how to do it, there are endless possibilities for outputting an image through a convolutional

Visual Geometry Group (VGG) is a team of researchers at Oxford University that produced a common convolutional neural network (CNN) architecture. This now-famous CNN is also called VGG and became popular in 2014 after beating the famous 2012 AlexNet in a competition. If you want to know why VGG is so common and what makes

Algorithms can use machine learning to identify different objects and classify them for image recognition. This evolving technology includes using Data Augmentation to produce better-performing models. Machine learning models need to identify an object in any condition, even if it is rotated, zoomed in, or a grainy image. Researchers needed an artificial way of adding

Wondering if dropout is a good option for your network? Dropout regularization is a great way to prevent overfitting and have a simple network. Overfitting can lead to problems like poor performance outside of using the training data, misleading values, or a negative impact on the overall network performance. You should use dropout for overfitting

Neural style transfer is the ability to separate the style and content of images using a Convolutional Neural Network (CNN). In neural style transfer, you have endless possibilities of applying an entirely different style to an existing image. The style can be anything you like, from cubism, surrealism, impressionism, or something of your own creation.

Salvador Dali’s special style is incredibly influential and has inspired artists for decades. If you’re looking for inspiration for your art, to use Dali in your style transfers, or just trying to understand why he’s famous, this article covers all aspects of Dali’s famous style. Salvador Dali used surrealism and symbolism in his painting style.

Frida Kahlo was a talented artist, political activist, and feminist icon. Her works are a fantastic set to draw on for your artwork or style transfers. Kahlo’s self-portraits are famous for stirring controversy about her unibrow and mustache. Why are these features in her paintings? Frida Kahlo had a unibrow as part of her personal

Mark Rothko is a controversial artist that provides an interesting example for studying color in artwork. Why do people continue to find his paintings so compelling? This article will look at the fascinating style of Mark Rothko, revealing how he became one of the most celebrated American artists ever and the reasons behind his lasting

If you’re looking for inspiration for your own paintings or finding the best paintings for style transfers – check out this Style Guide for Monet. Color is a critical factor in a painting’s style. How did Monet use it in his masterpieces? As a general rule, Monet used color to highlight momentary impressions of real

When people talk about art, Picasso is undoubtedly one of the most frequently discussed artists. Even non-artistic people have heard of him and his works. So what is his technique that has everyone so excited? Picasso’s technique used imagination to create abstract works that explored form and structure. Picasso used colors and brush strokes to

Understanding Jackson Pollock’s painting technique is crucial for using his style in your artwork or style transfers. I poured through all of Pollock’s paintings to find the best secret drips of style and technique. As a general rule, Jackson Pollock painted using a technique he pioneered called Drip painting. Instead of using a traditional brush

If you’re looking for inspiration for your Style Transfers, there’s no style as iconic as Van Gogh’s. This article is a detailed guide to everything about his style. Since he painted at the turn of the century, people often confuse if his style is impressionism or expressionism. I was confused originally too! I’ll answer all

Neural style transfer is computer vision technology that recomposes an image’s content in another’s style using a neural network. If you’ve ever envisioned how a photograph might appear if it were created by a famous artist, neural style transfer is the computer technology that makes it possible. So how does neural style transfer function in

Understanding Bayesian Neural Networks: A Tutorial A bayesian neural network is a type of artificial intelligence based on Bayes’ theorem with the ability to learn from data. Bayesian neural networks have been around for decades, but they have recently become very popular due to their powerful capabilities and scalability. They are considered to be one