You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...

James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower. In this article, I explain cross entropy ...

As a fun project I thought I’d put Google’s Inception-v3 neural network on a Raspberry Pi to see how well it does at recognizing objects first hand. It turned out to be not only fun to implement, but ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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 meshes well ...

You’ve likely used products shaped by Google’s machine learning system. The neural network has helped Google understand the subject in each Google Photos upload and what you’re saying when you talk to ...

Google (the real Google, within Alphabet) has announced a new, open-source machine learning platform called TensorFlow(Opens in a new window), one which could greatly accelerate the pace at which ...

Google used TensorFlow to build its Magenta project, which aims to advance machine generated art, and recently released a 90-second piano melody created solely by a neural network. This gives an idea ...