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
Social Links:
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:
Domain Not Resolving
Investors List
Pear Accelerator
Pear Accelerator investment in Convertible Note - DeepLIFT Technologies
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More informations about "DeepLIFT Technologies"
DeepLIFT Technologies - Crunchbase Company Profile & Funding
DeepLIFT Technologies is located in Stanford, California, United States. Who invested in DeepLIFT Technologies? DeepLIFT Technologies is funded by PearX. When was the last …See details»
kundajelab/deeplift: Public facing deeplift repo - GitHub
deeplift - PyPI
Nov 11, 2020 DeepLIFT (Deep Learning Important FeaTures) Algorithms for computing importance scores in deep neural networks. Implements the methods in “Learning Important …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»
DeepLIFT Explained: Python Techniques for AI …
Dec 11, 2024 DeepLIFT is a groundbreaking tool for making AI models more interpretable, reliable, and trustworthy. By leveraging its capabilities in Python, businesses can enhance the transparency of their AI ...See details»
deeplift - GitHub
Deeplift-io. Product ... Write better code with AI Security. Find and fix vulnerabilities Actions. Automate any workflow Codespaces. Instant dev environments Issues. Plan and track work …See details»
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»
DeepLIFT - GitHub Pages
Jul 13, 2021 A brief explanation of the gradient-based interpretability method called DeepLIFT is given by Shrikumar et al. in the abstract of the linked paper: DeepLIFT (Deep Learning …See details»
Explainable Neural Networks: Recent Advancements, …
DeepLiFT (2017) Following the works of Sebastian Bach et al on LRP/Taylor decomposition, Avanti Shrikumar, Peyton Greenside, Anshul Kundaje proposed DeepLiFT method in their work Learning Important Features Through …See details»
【XAI】DeepLIFT: ニューラルネットワークの解釈可能性を高める …
Aug 7, 2024 DeepLIFT を用いて XAI(Explainable AI)を実現するための大まかな方法は以下のようになります。 1. モデルの準備. まず、解釈を行いたいニューラルネットワークモデルを …See details»
DeepLIFT Technologies - Funding, Financials, Valuation & Investors
Sep 1, 2016 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 . …See details»
ForecastExplainer: Explainable household energy demand …
Sep 1, 2024 Recently, eXplainable Artificial Intelligence (XAI) has garnered substantial attention in explaining decisions of complex DL models. The primary objective is to enhance the …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 …See details»
DeepLIFT Technologies Reviews | Read Client Reviews of DeepLIFT ...
Read reviews of DeepLIFT Technologies. Write and share your personal story. Your experience will help others make the right buying decision. ... Search. Be brave like Ukraine. DeepLIFT …See details»
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»
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»
Learning important features through propagating activation …
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 Important FeaTures), a …See details»
Creating an AI-Ready Organization - Snowflake
Creating an AI-Ready Organization Artificial intelligence (AI) has become a driving force behind innovation, capturing the attention of organizations eager to unlock its transformative potential. …See details»
(PDF) Not Just a Black Box: Learning Important Features Through ...
May 5, 2016 Finally, the fast spatio-temporal explanation using DeepLIFT provides deeper understanding for the classification results of the 3D-EEGNet and the important properties in …See details»
How to use deeplift for regression #126 - GitHub
Oct 13, 2021 My second recommendation would be to compute the explanation with respect to the linear input that feeds into the tanh nonlinearity (i.e. what would be analogous to the logit …See details»