Antwan  Larson

Antwan Larson

1634360760

How to Make Art using AI with Convolutional Neural Networks

Ever wish you could paint portraits like Da Vinci or Van Gogh? Well, artificial intelligence allows you to do the next best thing these days.

In this workshop, we’ll show you how to use CNNs (Convolutional Neural Networks) to turn your photos into paintings in the style of your favorite classical artist. For this purpose, we’ll use TensorFlow in combination with Keras. TensorFlow is a free open-source software library developed by Google, especially useful for machine learning tasks.

Github link to code: https://github.com/The-Assembly/Make-Art-Using-AI.git

#artificialintelligence  #machinelearning  #AI   #neuralnetwork  #tensorflow  #digitalart #keras 

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How to Make Art using AI with Convolutional Neural Networks
Edna  Bernhard

Edna Bernhard

1598573522

ART + AI

The idea that AI can infiltrate the field of art is frightening and rightfully so. While it has been no secret that AI can definitely replace blue-collar jobs and possibly threaten white-collar jobs, the idea that it can impact the livelihood of artists isn’t one that the media has foretold, nor have dystopian movies explored. However, we can see early traces of AI in art. It has slowly seeped into written literature, journalism, paintings and even music.

Having said that, this isn’t a novel (😉) idea. Sometime in the 90s, a music theory professor trained a program to write Bach-styled compositions. Then, to his students, he played both the real and computer-generated versions. To them, both were indistinguishable. Since then, technology has rapidly improved to a state that AI can create music of its own.

#ai #art #artificial-intelligence #art-and-ai #is-ai-art-really-art #is-art-unique-to-humans #creativity #future

Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Murray  Beatty

Murray Beatty

1598606037

This Week in AI | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

This Week in AI - Issue #22 | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.Have fun!

Research Papers

Articles

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

Why Convolutional Neural Network is Not So Good Enough?

Capsule Networks provide a way of detecting parts of objects in an image and representing cognitive links between those parts. Which means that capsule networks in several poses will recognize the same purpose even though they haven’t seen the pose in the training data.

CNN’s work by accumulating feature sets at every layer. It starts by identifying points, then shapes, then actual objects. However, the information on spatial relationships of all these features is lost.

You can think of a CNN like this:

CNN = 2 eye’s + 1 Nose + 1 Mouth

CNN = Face

Image for post

There are two eyes, one nose and one mouth, but something is wrong.

Can you spot it? We can quickly tell that there are an eye and a mouth in the wrong position and that this is not what a person should look. A well-trained CNN has trouble with this idea, though.

CNN apart from being easily tricked by images with features in the wrong place, when viewing an image in a different orientation, a CNN is also easily confused. One way to overcome this is by an intense preparation from all angles, but this takes a lot of time and too much of computational power.

#data-science #artificial-intelligence #convolutional-network #ai #machine-learning #neural networks