DeepLearning

Practical Deep Learning and Machine learning Projects

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Kshitiz R. posted an update in DeepLearning

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Kshitiz Rimal

In order to make Artificial Intelligence Education Accessible, we (Developer Sessions , the AI community of Nepal) is conducting AI/Deep Learning Prerequisites workshop all over Nepal.

Details can be found here: https://www.facebook.com/groups/developersessions/

We have also successfully launched a project based on Deep Learning, which tries to solve the accessibility problem for visually impaired.

Details can be found here https://devmesh.intel.com/projects/cash-recognition-for-visually-impaired

I have written blog posts about my journey into the world of AI and deep learning.

You can view that blog here medium.com/deep-learning-journals

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Mário D. posted an update in DeepLearning

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Mário Damhur

I am studying Computer Science at the Federal University of Amazonas, Brazil. I am new to machine learning and have been studying since, especially deep learning. I am currently studying deep reinforcement learning because I believe that reinforcement learning is more akin to human learning, especially in the early years of life, and so I am following this line to try to understand what learning really is and how far we can to arrive.

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Ahsan S. posted an update in DeepLearning

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Ahsan Saeed

Hi all,

My name is Ahsan Saeed, and I am a graduate student at Georgia Institute of Technology. I am currently working in deep learning, on cervical cancer data. I have also worked in Machine Learning, specifically in Health-care industry to improve and predict patients stay in ICU. Mainly, my focus was to use NLP techniques to convert hospital notes into meaningful features, and predict mortality. I used Latent Dirichlet Allocation to get the distribution of the significant words. In addition to that, I have worked in projects related to IMDB/Rotten Tomatoes movies dataset to predict revenue of the data and to predict when a movie should be released to maximize revenue. Currently, I am participating in Kaggle competitions and working on running Deep learning experiments with teaching faculty. I am thrilled to see the potential that deep learning is bringing to Artificial Intelligence and very excited to explore it further.

Regards, Ahsan

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shantanu p. created group DeepLearning

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DeepLearning

I am creating this group so that people working on Deep learning , Machine Learning can show each other there projects or share latest news so that every one can learn from real life projects and stay updated .

Projects (57)

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DeepLearning

Group location: India

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shantanu patil, Owner

India

Description

I am creating this group so that people working on Deep learning , Machine Learning can show each other there projects or share latest news so that every one can learn from real life projects and stay updated .

Members (417)

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Siddhant Agarwal

A Design Thinker at heart. Currently working as Ecosystem Engagement Manager at Beahead Pvt. Ltd. living in Bengaluru, India. I love helping startups scale in User Experience (UX). Read more at: www.about.me/siddhantagarwal

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Justin Shenk

I develop machine learning and computer vision projects.

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Adam Milton-Barker

Predominantly self taught programmer with over 14 years experience in various areas of the tech industry. Involved in disruptive and non-disruptive tech ranging from web/Facebook/mobile & desktop apps, to IoT software/devices & services, A.I/Machine Learning (NLP/NLU, computer vision), Automation, BioHacking, basic BCI (Brain Computer Interface) apps and Robotics. Founder of TechBubble (2014) & Intel Software Innovator in the fields of the Internet of Things & Artificial Intelligence / Machine Learning. Began developing through using online website builders to promote DJing events and nights. Became passionate about development spending all spare time learning how to program. In 2009 began to develop a platform that would automate businesses, the platform is now a number of platforms combined known as the TechBubble EcoSystem, including an IoT platform (IoT JumpWay), IoT Social Network, IoT devices (IntelliLan), A.I platform/projects and tech blog. In addition, studied MOOCs such as Harvard CS50x: An Introduction To Computer Science, MIT 6.00.1x: Introduction to Computer Science and Programming Using Python and MIT 6.00.2x: Introduction to Computational Thinking and Data Science. Held the position of community teaching assistant for MIT 6.00.1x and MIT 6.00.2x with the responsibility of assisting students and monitoring the Facebook Groups. After an application for the Microsoft Bizspark program was accepted, in January 2016 became Semi Finalist in the Smart Homes category of the IBM/4YFN Global Mobile Innovators Tournament and a first phaze winner in Microsoft/Arduino World Maker Challenge. A version of TASS, our computer vision project, our team won the Intel Experts Award at the IoT Solutions World Congress Intel/Microsoft/BeMyApp Hackathon for building a neural network on an Intel Joule as part of an automated smart home environment. For more info feel free to check out my website: www.AdamMiltonBarker.com

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