DEEPLIFT TECHNOLOGIES
Deep learning has produced powerful predictive models, but they are currently used as uninterpretable black boxes that fail when the goal is not merely prediction, but insight and discovery. DeepLIFT's algorithms bring interpretability to deep learning by taking these black box models and looking inside them to understand why they work. *We have not raised any money, nor are we fundraising.* At the time of writing, Crunchbase claimed we had received 50k in non-equity assistance. This is incorrect.
DEEPLIFT TECHNOLOGIES
Industry:
Artificial Intelligence E-Learning Education Language Learning Machine Learning
Address:
Stanford, California, United States
Country:
United States
Website Url:
http://www.deeplift.ai
Total Employee:
1+
Status:
Closed
Total Funding:
0
Technology used in webpage:
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Pear Accelerator
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More informations about "DeepLIFT Technologies"
DeepLIFT Technologies - Crunchbase Company Profile …
DeepLIFT Technologies is located in Stanford, California, United States. Who invested in DeepLIFT Technologies? DeepLIFT Technologies is funded by PearX. When was the last funding round for DeepLIFT Technologies? DeepLIFT …See details»
DeepLIFT Technologies - Crunchbase
DeepLIFT brings interpretability to deep learning by taking these black box models and looking inside them to understand why they work. Search Crunchbase. Start Free Trial . Chrome Extension. Solutions. Products. …See details»
DeepLIFT | XAI Foundation
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DeepLIFT Explained: Python Techniques for AI Transparency
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Learning Important Features Through Propagating Activation …
Apr 10, 2017 The purported "black box" nature of neural networks is a barrier to adoption in applications where interpretability is essential. Here we present DeepLIFT (Deep Learning …See details»
8 Best AI Frameworks For Transparency In AI - Analytics India …
Oct 18, 2019 3. DeepLIFT. DeepLIFT is a method that compares the activation of each neuron to its ‘reference activation’ and assigns contribution scores according to the difference. It gives …See details»
DeepLIFT - GitHub Pages
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Title: Not Just a Black Box: Learning Important Features Through ...
May 5, 2016 Here we present DeepLIFT (Learning Important FeaTures), an efficient and effective method for computing importance scores in a neural network. DeepLIFT compares …See details»
deeplift - OECD.AI
Jun 8, 2023 Public facing deeplift repo. Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its …See details»
Not Just a Black Box: Learning Important Features …
May 5, 2016 Here we present DeepLIFT (Learning Important FeaTures), an efficient and effective method for computing importance scores in a neural network. DeepLIFT compares the activation of each neuron to its 'reference …See details»
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deeplift/README.md at master · kundajelab/deeplift - GitHub
This version of DeepLIFT has been tested with Keras 2.2.4 & tensorflow 1.14.0.See this FAQ question for information on other implementations of DeepLIFT that may work with different …See details»
kundajelab/deeplift: Public facing deeplift repo - GitHub
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Deep Lift heat map, an XAI technique that highlights the ...
DeepLIFT method flows through the neural network in the same way as LRP. It provides an interpretable way to understand the prediction-concentration regions of the ECG signals as …See details»
Learning Important Features Through Propagating Activation
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Deep learning important features (DeepLift) — DeepLift
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Whatcha lookin' at? DeepLIFTing BERT's Attention in Question …
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Building a responsible AI-ready workforce for the future
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