Event details about Unsupervised and Reinforcement Learning with Python, Tensorflow & OpenAI in San Francisco on June 2, 2018 - watch, listen, photos and tickets ...

Event details about Reinforcement Learning with Python, Tensorflow and OpenAI 2-days workshop in San Francisco on December 16, 2017 - watch, listen, photos and tickets ...

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

This tutorial shed some light on why Python is the preferred language for Machine Learning and AI and listed some of the best ML and AI libraries to choose from, including TensorFlow, SciPy, and ...

If you are adept at Python and remember your high school algebra, you might enjoy [Oliver Holloway’s] tutorial on getting started with Tensorflow in Python.

TensorFlow prerequisites You need a few prerequisites to fully understand the material I’ll cover. First, you should be able to read Python code. If you don’t know how, the book Learning ...

Since Python’s one of the biggest platforms for building and working with machine learning applications, it’s only fitting that TensorFlow 1.0 focuses on improving Python interactions.

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. Surpri… ...

In the realm of machine learning frameworks, there’s no one-size-fits-all solution. PyTorch and TensorFlow offer distinct advantages that cater to different aspects of the machine learning workflow.

Google clearly wants the machine learning community to help build TensorFlow into a more mature tool that can accelerate certain fields of research and development.