Some of these tutorials use an API called PrettyTensor for creating Neural Networks in TensorFlow, but the PrettyTensor API is now obsolete. Some of the Notebooks are therefore also obsolete and they ...

You can help by translating the remaining tutorials or reviewing the ones that have already been translated. You can also help by translating to other languages. It is a very big job to translate all ...

Machine learning couldn’t be hotter, with several heavy hitters offering platforms aimed at seasoned data scientists and newcomers interested in working with neural networks. Among the more popular ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, it is assumed that you already have access to the WAVE HPC with a user account and the ability to open a ...

Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

If you want to explore machine learning, you can now write applications that train and deploy TensorFlow in your browser using JavaScript. We know what you are thinking. That has to be slow.

You open a notebook, type import tensorflow as tf, and Jupyter answers with ModuleNotFoundError. Or you installed TensorFlow from a terminal an hour ago and the ...