Image Processing

Asking questions to images with deep learning: a visual-question-answering tutorial

In this deep learning tutorial, we’ll build Visual Question Answering (VQA) model that allows people to ask open-ended, common sense questions about the visual world.

Source: blog.floydhub.com/asking-questions-to-images-with-deep-learning/

Asking questions to images with deep learning: a visual-question-answering tutorial

Colorizing B&W Photos with Neural Networks

We’ll show you how to build your own colorization neural net in three steps. The first section breaks down the core logic. We’ll build a bare-bones 40-line neural network as an “Alpha” colorization bot.

Source: blog.floydhub.com/colorizing-b-w-photos-with-neural-networks/

Colorizing B&W Photos with Neural Networks

Colorizing and Restoring Old Images with Deep Learning

Colorizing black and white images with deep learning has become an impressive showcase for the real-world application of neural networks in our lives. Jason Antic decided to push the state-of-the-art in colorization with neural networks a step further. His recent DeOldify deep learning project not only colorizes images but also restores them

Source: blog.floydhub.com/colorizing-and-restoring-old-images-with-deep-learning/

Colorizing and Restoring Old Images with Deep Learning

Haggis, Not Haggis: Build a haggis-detection app with TensorFlow and FloydHub

Use TensorFlow to build your own haggis-hunting app for Burns Night! The Scottish quest for the mythical wild haggis just got easier with deep learning.

Source: blog.floydhub.com/haggis-not-haggis/

Haggis, Not Haggis: Build a haggis-detection app with TensorFlow and FloydHub

On Building an Instagram Street Art Dataset and Detection Model

In this article, we will go over how to build a deep learning model using TensorFlow and Keras that accomplishes the task of generally detecting street art by using publicly available social media data on Instagram.

Source: blog.floydhub.com/instagram-street-art/

On Building an Instagram Street Art Dataset and Detection Model

Recommending Similar Fashion Images with Deep Learning

Explore how deep learning is changing the fashion industry by training your own visual recommendation model for similar fashion images using TensorFlow and FloydHub

Source: blog.floydhub.com/similar-fashion-images/

Recommending Similar Fashion Images with Deep Learning

Image Generator – Drawing Cartoons with Generative Adversarial Networks

We are going to implement a machine learning model that can generate an infinite number of alike image samples based on a given dataset. In order to do so, we are going to demystify Generative Adversarial Networks (GANs) and feed it with a dataset containing characters from ‘The Simspons’. By the end of this article, you will be familiar with the basics behind the GANs and you will be able to build a generative model on your own!

Source: towardsdatascience.com/image-generator-drawing-cartoons-with-generative-adversarial-networks-45e814ca9b6b

Image Generator – Drawing Cartoons with Generative Adversarial Networks