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1. www.weforum.org › agenda › 2019Deep science: what it is, and how it will shape our future

   www.weforum.org › agenda › 2019

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   Jun 26, 2019 · Deep science involves massive financial investments for physical and technological infrastructure. It also requires long-term, collaboration between and within organizations that employ some of the smartest people on the planet.

2. www.gla.ac.uk › research › generalpracticeThe Scottish Deep End Project - The University of Glasgow

   www.gla.ac.uk › research › generalpractice

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   The Scottish Deep End Project. Introduction. General Practitioners at the Deep End work in 100 general practices serving the most socio-economically deprived populations in Scotland (where 44-88% of registered patients live in the 15% most deprived data zones).

3. Videos

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     Deep Learning Essentials: End-to-End Project | Deep learning Project | iNeuron

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     Live- Implementation Of Malaria Disease Using Deep Learning End To End Projects With Deployment

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     Deep learning project end to end | Potato Disease Classification - 2 :Data collection, preprocessing

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4. www.gla.ac.uk › deepend › developingdeependThe Scottish Deep End Project - University of Glasgow - Schools

   www.gla.ac.uk › deepend › developingdeepend

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   Developing a Deep End project. Founder of Deep End Professor Graham Watt describes the development of this important, impactful project, its underlying aims and philosophy, and the steps in the process, and provides some possible pointers for others who may wish to set up their own group.

5. paul-chaplin.co.uk › project-depth-why-you-shouldProject Depth — Why you should think about 3 levels …at ...

   paul-chaplin.co.uk › project-depth-why-you-should

   Jan 10, 2019 · Projects require breaking down to understand the depth of work involved and the essential requirements needed. This can be thought as of depth in the problem you are trying to solve and a way to validate what you know against each level.

   • Author: Paul Chaplin

6. towardsdatascience.com › e2e-the-every-purpose-mlEnd-to-end learning, the (almost) every purpose ML method

   towardsdatascience.com › e2e-the-every-purpose-ml

   May 31, 2019 · End-to-end (E2E) learning refers to training a possibly complex learning system represented by a single model (specifically a Deep Neural Network) that represents the complete target system, bypassing the intermediate layers usually present in traditional pipeline designs.

7. www.leanwisdom.com › blog › how-to-create-an-end-toHow to Create an End-to-End Data Science Project - leanwisdom.com

   www.leanwisdom.com › blog › how-to-create-an-end-to

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   Oct 8, 2024 · Data science projects can be complex undertakings, involving multiple stages from initial concept to final deployment. This blog post will guide you through the entire process of creating an end-to-end data science project, using a real-world case study to illustrate each step.

8. People also ask

   What is an end-to-end deep learning project?

   • Whenever there is an article on an end-to-end deep learning project, it consists of training a deep learning model, deploying a Flask API, and then making sure it works or it extensively consists of…

   End to End Deep Learning: A Different Perspective

   towardsdatascience.com/end-to-end-deep-learning-a-different-perspective-de9467697bf0

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   What is a deep end project?

   • The Scottish Deep End Projects have been characterised by GP initiative and persistence both in developing proposals and seizing opportunities for funding. Initiation of Deep End Projects was generally possible in response to national policy directives and funding streams.

   The Scottish Deep End Project - University of Glasgow

   www.gla.ac.uk/schools/healthwellbeing/research/generalpractice/deepend/developingdeepend/

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   What are the 3 parts of a deep learning project?

   • The project is broken down into three different parts. The first part consists of working with a deep learning model to detect the food ingredients, the second part consists of creating an endpoint to deploy it as a service, and the third part consists of actually using it in a native application.

   End to End Deep Learning: A Different Perspective

   towardsdatascience.com/end-to-end-deep-learning-a-different-perspective-de9467697bf0

   See all results for this question

   What is an example of a deep end group?

   • For example, when opportunities arose to speak to parliamentary committees at Holyrood, to civil servants or Government Ministers, the Deep End group was usually represented by one academic GP and two frontline practitioners, presenting a combination of evidence-based argument with coal-face observations based on daily contact with patients.

   The Scottish Deep End Project - University of Glasgow

   www.gla.ac.uk/schools/healthwellbeing/research/generalpractice/deepend/developingdeepend/

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   Are deep end projects relevant to patients living in deprived circumstances?

   • Although the Deep End Projects have been based in Deep End practices, it is clear that many of the findings, and especially those concerning individual patient care, are relevant to patients living in deprived circumstances throughout Scotland.

   The Scottish Deep End Project - The University of Glasgow

   www.gla.ac.uk/schools/healthwellbeing/research/generalpractice/deepend/

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   What is deep science?

   • Deep science is an international collaborative activity. ITER involves 35 countries, including some who are not best of friends politically right now. It involves long, sustained financial investments, in order to conduct the science, and latterly continued finance to support its applications (link to our blog).

   Deep science: what it is, and how it will shape our future

   www.weforum.org/agenda/2019/06/how-deep-science-shapes-the-future/

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9. towardsdatascience.com › end-to-end-deep-learningEnd to End Deep Learning: A Different Perspective

   towardsdatascience.com › end-to-end-deep-learning

   Feb 22, 2021 · The project is broken down into three different parts. The first part consists of working with a deep learning model to detect the food ingredients, the second part consists of creating an endpoint to deploy it as a service, and the third part consists of actually using it in a native application.