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All Blog Posts Tagged 'TensorFlow' (10)

Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook?

There is an impedance mismatch between model development using Python and its Machine Learning tool stack and a scalable, reliable data platform. The former is what you need for quick and easy prototyping to build analytic models. The latter is what you need to use for data ingestion, preprocessing, model deployment and monitoring at scale. It…

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Added by Kai Waehner on January 22, 2019 at 10:00am — No Comments

Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT

I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…

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Added by Kai Waehner on August 1, 2018 at 11:00pm — 1 Comment

Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka

Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …

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Added by Kai Waehner on July 8, 2018 at 4:26pm — No Comments

Deep Learning Infrastructure for Extreme Scale with 
the Apache Kafka Open Source Ecosystem

I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.

Long version of the title:

"Deep Learning at Extreme Scale (in the Cloud) 
with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."

As always, I want to share the slide deck. The talk was…

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Added by Kai Waehner on May 8, 2018 at 9:30pm — No Comments

Search for the fastest Deep Learning Framework supported by Keras

Summary: Performance comparison for the popular Deep Learning frameworks supported by Keras – TensorFlow, CNTK, MXNet and Theano

If there are any doubts in regards to the popularity of Keras among the Data Scientist/Engineer community and the mindshare it commands, you just need to look at the support it has been receiving from all major AI and Cloud players. Currently the official Keras release already supports Google's TensorFlow and Microsoft's CNTK deep…

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Added by Jasmeet Bhatia on September 14, 2017 at 1:30pm — 1 Comment

Four great machine learning eBooks

Want to learn machine learning? Looking for data science tutorials and guides to help you master your data and produce actionable, game-changing insights?

Look no further than this list of machine learning eBooks from the Packt team....

1. …

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Added by Richard Gall on July 21, 2017 at 6:00am — No Comments

Open Source Deep Learning Frameworks and Visual Analytics

Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.

What is Deep Learning and Artificial Neural Networks?

Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…

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Added by Kai Waehner on April 23, 2017 at 9:00am — 1 Comment

Deep Learning in Action

Last year before Christmas at Hochschule München, Fakultät für Informatik and Mathematik I presented about Deep Learning (nbviewer, github, pdf).

Mainly concepts (what's…

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Added by Sigrid Keydana on January 2, 2017 at 2:00am — 1 Comment

Step-by-step video courses for Deep Learning and Machine Learning

UPDATE: Mar 20, 2016 - Added my new follow-up course on Deep Learning, which covers ways to speed up and improve vanilla backpropagation: momentum and Nesterov momentum, adaptive learning rate algorithms like AdaGrad and RMSProp, utilizing the GPU on AWS EC2, and stochastic batch gradient descent. We look at TensorFlow and Theano starting from the basics - variables, functions, expressions, and simple optimizations - from there, building a neural network seems simple! …

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Added by LazyProgrammer.me on January 23, 2016 at 8:30pm — 2 Comments

TensorFlow Machine Learning System

Google recently open sourced TensorFlow providing access to a powerful machine learning system. TensorFlow is a machine learning library with tools for data scientists to design intelligent systems (interface for expressing machine learning algorithms and…

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Added by Michael Walker on November 17, 2015 at 9:44pm — 1 Comment

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