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   351

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.

Google to Release Teachable Machine 2.0

Teachable Machines 2.0 is a platform where neural networks can be trained without programming
11 November 2019   170

Learning machine learning is now easier than ever. Google is ready to help with this: the company introduced the Teachable Machine 2.0 platform. This is a site where neural networks can be trained in a couple of clicks.

A camera and microphone are enough to make datasets with video or audio recordings on which the neuron network will be trained. You do not need to write code at all. The interface is extremely simple: one button for recording data, another for training the model. If the result does not suit you, you can delve into the advanced settings or refine the data. You can export your achievements to the application, to a third-party site, to your device, or to Google Drive.

The project has a first version. It allowed training neural networks based on images and did not support the export of models. Teachable Machine was used to familiarize students with AI, as well as to develop useful functional tools, for example, applications that help people with speech impairments communicate.

Give it a try now!