yencarnacion + deep   89

yencarnacion/google-research: Google AI Research
Training Data:
# Prostate
https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga
# breast
https://camelyon16.grand-challenge.org/
---
The Camelyon16 dataset utilized to develop the deep learning algorithms used in this study is available from the Camelyon challenge8 (https://camelyon16.grand-challenge.org/). The prostate dataset from TCGA that was used to develop the deep learning algorithms used in this study is available from the Genomic Data Commons portal (https://portal.gdc.cancer.gov/), which is based on data generated by the TCGA Research Network (http://cancergenome.nih.gov/).
---
https://doi.org/10.1038/s41591-019-0539-7
github  google  cancer  research  open  source  ai  artificial  intelligence  ml  machine  deep  learning  pdf  paper  microscope  ar  augmented  reality 
august 2019 by yencarnacion
Machine Learning is Fun Part 6: How to do Speech Recognition with Deep Learning
Bay Area Deep Learning School Day 2 at CEMEX auditorium, Stanford
Speech Recognition and Deep Learning by by Adam Coates and Vinay Rao or Baidu
Adam Coates of Baidu gave a great presentation on Deep Learning for Speech Recognition at the Bay Area Deep Learning School. You can watch the video on YouTube (his talk starts at 3:51:00).
https://www.youtube.com/watch?v=9dXiAecyJrY&feature=youtu.be&t=13874
https://youtu.be/9dXiAecyJrY?t=13874
---
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
https://dl.acm.org/citation.cfm?id=1143891
medium  speech  recognize  recognition  ai  artificial  intelligence  deep  learning 
february 2019 by yencarnacion
Partnering with researchers at UC Berkeley to improve the use of ML
Today, the consequences of exposing algorithmic decisions and machine learning models to hundreds of millions of people are poorly understood. Even less is known about how these algorithms might interact with social dynamics: people might change their behaviour in response to what the algorithms recommend to them, and as a result of this shift in behaviour the algorithm itself might change, creating a potentially self-reinforcing feedback loop. We also know that individuals or groups will seek to game or exploit our algorithms and safeguarding against this is essential.
artificial  intelligence  ai  machine  learning  thoughts  though  twitter  unintended  consequence  consequences  behavior  behaviors  behavioral  change  changes  musing  deep  share  sharing  publishing  disseminating  research 
january 2019 by yencarnacion
Data Collective — DCVC
# they primarily look for a novel algorithmic approach to solving a problem.
# they look for proprietary datasets
# listened to Zachary Bogue on siriusxm 132
venture  capital  vc  deep  tech 
january 2019 by yencarnacion
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