You Are Here: Home » TensorFlow

TensorForce: A TensorFlow library for applied reinforcement learning – reinforce.io

This blogpost will give an introduction to the architecture and ideas behind TensorForce, a new reinforcement learning API built on top of TensorFlow. This post is about a practical question: How can the applied reinforcement learning community move from collections of scripts and individual examples closer to an API for reinforcement learning (RL) — a ‘tf-learn’ or ‘skikit-learn’ for RL? Before discussing ...

Read more

Deep Learning with Emojis (not Math) – tech-at-instacart

Sorting shopping lists with deep learning using Keras and Tensorflow. Shopping for groceries is hard. Stores are large and have complex layouts that are confusing to navigate. The hummus you want could be in the dairy section, the deli section, or somewhere else entirely. Efficiently navigating a store can be a daunting task. At Instacart, our customers can order millions of products from hundreds of retail ...

Read more

Yahoo supercharges TensorFlow with Apache Spark 

Yahoo, model Apache Spark citizen and developer of CaffeOnSpark, which made it easier for developers building deep learning models in Caffe to scale with parallel processing, is open sourcing a new project called TensorFlowOnSpark. The pairing of Spark and TensorFlow should make the deep learning framework more attractive to developers who are creating models that need to run on large computing clusters. Fo ...

Read more

IoT And Big Data At Caterpillar: How Predictive Maintenance Saves Millions Of Dollars

When it comes to big data and Internet of Things (IoT) initiatives most companies are still in the design or early adoption phases which make it hard to get a solid return on investment (ROI) figures.  So it’s refreshing to share a story of an organization delivering real-world ROI for their customers by vastly ramping up their data collection and predictive maintenance analytics. The Marine Division of Cat ...

Read more

Distributed Deep Learning with Apache Spark and Keras | Databases at CERN

In the following blog posts we study the topic of Distributed Deep Learning, or rather, how to parallelize gradient descent using data parallel methods. We start by laying out the theory, while supplying you with some intuition into the techniques we applied. At the end of this blog post, we conduct some experiments to evaluate how different optimization schemes perform in identical situations. We also intr ...

Read more

IBM adds TensorFlow support to its PowerAI | ZDNet

IBM said it is offering support for Google's open source machine learning technology TensorFlow with its PowerAI software. The move highlights ongoing collaboration between tech giants in the AI space including Google, Nvidia, IBM, and AMD. According to IBM, TensorFlow has become popular among enterprises looking to use deep learning frameworks. By offering PowerAI support, enterprises will have more option ...

Read more

Deep Learning on Databricks – The Databricks Blog

We are excited to announce the general availability of Graphic Processing Unit (GPU) and deep learning support on Databricks! This blog post will help users get started via a tutorial with helpful tips and resources, aimed at data scientists and engineers who need to run deep learning applications at scale. What’s new? Databricks now offers a simple way to leverage GPUs to power image processing, text analy ...

Read more

TensorFrames on Google’s TensorFlow and Apache Spark – YouTube

[embed]https://www.youtube.com/watch?v=08mrnJxcIWw[/embed] Tim Hunter presented at the Bay Area Spark Meetup @ Salesforce: TensorFrames on Google’s TensorFlow and Apache Spark. In this talk, Tim Hunter, Databricks Software Engineer, discusses how to combine Apache Spark with TensorFlow, a new framework from Google that provides building blocks for Machine Learning computations on GPUs. Through a binding bet ...

Read more

TensorFlow for poets – O’Reilly Media

When I first started investigating the world of deep learning, I found it very hard to get started. There wasn’t much documentation, and what existed was aimed at academic researchers who already knew a lot of the jargon and background. Thankfully, that has changed over the last few years, with a lot more guides and tutorials appearing. I always loved EC2 for Poets, though, and I haven’t seen anything for d ...

Read more

2015 © Big Data Cloud Inc. All Rights Reserved.

Hadoop and the Hadoop elephant logo, Sprark are trademarks of the Apache Software Foundation.

Scroll to top