I strongly recommend using the Anaconda distribution of Python, which has all the packages you need to run Keras with TensorFlow. In this article I address installation on a Windows 10 machine.

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 ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

It also makes extensive use of Python scripts, but if you’re comfortable with that and you have an application for computer vision, [Evan]’s tutorial will get you started.

Wrapping Up The Python language is too slow to create serious neural networks from scratch. But implementing a neural network in Python gives you a complete understanding of what goes on behind the ...

In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine ...

Programming languages: Python developers reveal what they use it for and their top tools New global survey shows that Python developers love machine learning, but just don't call them data scientists.

We hear from Wunderman Thompson’s Cole Peterson about how the agency has come to utilize Google’s open-source TensorFlow software – and about its limitations.

Despite some of the inherent complexities of using FPGAs for implementing deep neural networks, there is a strong efficiency case for using reprogrammable devices for both training and inference.