Image Classification Using a DNN with Keras This article assumes you have intermediate or better programming skill with a C-family language, but doesn't assume you know much about Keras or neural ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Prior versions of the image captioning model took three seconds per training step on an Nvidia G20 GPU, but the version open sourced today can do the same task in a quarter of that time, or just 0 ...

When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [E… ...

Upon ingesting the data, we will incorporate TensorFlow to train and classify data simultaneously using some of the built-in TensorFlow algorithms. Finally, we’ll see how well the machine ...

The easiest way to understand TensorFlow and Google's approach to AI is with image recognition. In 2011, Google created DistBelief , which used machine learning to identify what's in a photo by ...