Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks ... of the success of TensorFlow. If you are adept at Python and remember your ...

Google used TensorFlow ... neural network. This gives an idea of the sorts of things the software can be used to build. TensorFlow version 0.9 also adds a bunch of other features including Python ...

After reading this article you should have a solid grasp of neural network fundamentals, as well as knowledge of Python and NumPy techniques that would be useful when working with CNTK or Tensorflow.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep ...

The neural network has helped Google understand the ... Google announced today. Called TensorFlow, the new system includes an open source library and a set of tools, tutorials, and examples ...

Google’s DeepMind announced today that it was open sourcing Sonnet, its object-oriented neural network library. Sonnet doesn’t replace TensorFlow, it’s simply a higher-level library that mes ...

After reading this article you should have a solid grasp of neural network fundamentals, as well as knowledge of Python and NumPy techniques that would be useful when working with CNTK or Tensorflow.