Tag: Deep Learning

Modeling “Unknown Unknowns” with TensorFlow Probability — Industrial AI, Part 3

From: https://medium.com/tensorflow/modeling-unknown-unknowns-with-tensorflow-probability-industrial-ai-part-3-52146cd0201a Posted by Venkatesh Rajagopalan, Director Data Science & Analytics; Mahadevan Balasubramaniam, Principal Data Scientist; and Arun Subramaniyan, VP Data Science & Analytics at BHGE Digital We believe in a slightly modified version of George Box’s famous comment: “All models are wrong, some are useful” for a short period of time. Irrespective of how sophisticated a model … Continue reading Modeling “Unknown Unknowns” with TensorFlow Probability — Industrial AI, Part 3 →

Predicting Known Unknowns with TensorFlow Probability — Industrial AI, Part 2

From: https://medium.com/tensorflow/predicting-known-unknowns-with-tensorflow-probability-industrial-ai-part-2-2fbd3522ebda Posted by Venkatesh Rajagopalan, Director Data Science & Analytics and Arun Subramaniyan, VP Data Science & Analytics at BHGE Digital In the first blog of this series, we presented our analytics philosophy of combining domain knowledge, probabilistic methods, traditional machine learning (ML) and deep learning techniques to solve some of the hardest problems in the industrial world. … Continue reading Predicting Known Unknowns with TensorFlow Probability — Industrial AI, Part 2 →

Industrial AI: BHGE’s Physics-based, Probabilistic Deep Learning Using TensorFlow Probability — Part 1

From: https://medium.com/tensorflow/industrial-ai-bhges-physics-based-probabilistic-deep-learning-using-tensorflow-probability-5f215c791863 By Arun Subramaniyan, VP Data Science & Analytics at BHGE Digital Baker Hughes, a GE Company (BHGE), is the world’s leading fullstream oil and gas company with a mission to find better ways to deliver energy to the world. The BHGE Digital team develops enterprise grade, AI-driven, SaaS solutions to improve efficiency and reduce non-productive time … Continue reading Industrial AI: BHGE’s Physics-based, Probabilistic Deep Learning Using TensorFlow Probability — Part 1 →

A Primer on Deep Learning in Genomics

From: https://colab.research.google.com/drive/17E4h5aAOioh5DiTo7MZg4hpL6Z_0FyWr#scrollTo=eiiwjw4yhX0P Deep Learning in Genomics Primer (Tutorial) This tutorial is a supplement to the manuscript, A Primer on Deep Learning in Genomics (Nature Genetics, 2018) by James Zou, Mikael Huss, Abubakar Abid, Pejman Mohammadi, Ali Torkamani & Amalio Telentil. Read the accompanying paper here. Paper: https://drive.google.com/file/d/1441g10nACGWVfMeMU4aYxaODYC_bl2Oi/view?usp=sharing If you have any questions or feedback regarding this tutorial, please … Continue reading A Primer on Deep Learning in Genomics →

Breast cancer classification with Keras and Deep Learning

From: https://www.pyimagesearch.com/2019/02/18/breast-cancer-classification-with-keras-and-deep-learning/ In this tutorial, you will learn how to train a Keras deep learning model to predict breast cancer in breast histology images. Back 2012-2013 I was working for the National Institutes of Health (NIH) and the National Cancer Institute (NCI) to develop a suite of image processing and machine learning algorithms to automatically analyze … Continue reading Breast cancer classification with Keras and Deep Learning →