AttnGAN Neural Network to Draw Strange Pictures

The neural network is good at drawing birds by the text description, but bad everything else
20 August 2018   2106

The author of the AI Weirdness blog Janelle Shane had discovered the generative-controversial neural network called AttnGAN, which is trained to draw images on the text description. The problem is that it requires too accurately defined picture parameters and sometimes can not determine the boundaries of objects.

Janelle notes that, while the neural network was trained on a narrow set of data in the form of birds, it obtained nice images:

AttnGAN
AttnGAN

However, when the creators trained it on a dataset that included pictures from sheep to shopping centers, it could not create a meaningful image in a similar way. The author of AI Weirdness believes that the error lies in too wide a set of initial data, in which AttnGAN could not select the appropriate instances:

AttnGAN
AttnGAN

In addition, it somehow has a problem with determining the correct number of holes on the human face. Developers AttnGAN added to the control dataset person celebrities to create photorealistic portraits, but the neural network couldn't do that:

AttnGAN
AttnGAN

Additionally, neural network is real bad at displaying animals:

AttnGAN
AttnGAN

Janelle Shane calls the project AttnGAN "Visual Chatbot on the contrary." This chat bot analyzes the image that the user sends and describes it, often implausibly.

TensorFlow 2.0 to be Released

New major release of the machine learning platform brought a lot of updates and changes, some stuff even got cut
01 October 2019   241

A significant release of the TensorFlow 2.0 machine learning platform is presented, which provides ready-made implementations of various deep machine learning algorithms, a simple programming interface for building models in Python, and a low-level interface for C ++ that allows you to control the construction and execution of computational graphs. The system code is written in C ++ and Python and is distributed under the Apache license.

The platform was originally developed by the Google Brain team and is used in Google services for speech recognition, facial recognition in photographs, determining the similarity of images, filtering spam in Gmail, selecting news in Google News and organizing the translation taking into account the meaning. Distributed machine learning systems can be created on standard equipment, thanks to the built-in support in TensorFlow for spreading computing to multiple CPUs or GPUs.

TensorFlow provides a library of off-the-shelf numerical computation algorithms implemented through data flow graphs. The nodes in such graphs implement mathematical operations or entry / exit points, while the edges of the graph represent multidimensional data arrays (tensors) that flow between the nodes. The nodes can be assigned to computing devices and run asynchronously, simultaneously processing all the suitable tensors at the same time, which allows you to organize the simultaneous operation of nodes in the neural network by analogy with the simultaneous activation of neurons in the brain.

Get more info about the update at official website.