TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

You can use existing models, convert Python TensorFlow models, use transfer learning to retrain existing models with your own data, and develop models from scratch.

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.

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 ...

Google has launched a certification program for its deep-learning framework TensorFlow. The certification exam is administered using a PyCharm IDE plugin, and candidates who pass can be listed in ...

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.

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.