News
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Neural network image recognition: A “Kong girl” approach to DIY photo sorting
Read More ↗︎: Neural network image recognition: A “Kong girl” approach to DIY photo sortingEver felt fed up with digging photos out from thousands of images? Should you group them by time or content? Want to tag not just your friends, but also your pets? You know about some paid online services, but they are not as tailor-made, and you want to keep the photos to yourselves? Why not…
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Demystifying speech recognition with Project DeepSpeech
Read More ↗︎: Demystifying speech recognition with Project DeepSpeechOur voices are no longer a mystery to speech recognition (SR) software, the technology powering these services has amazed the humanity with its ability to understand us. This talk aims to cover the intrinsic details of advanced state of art SR algorithms with live demos of Project DeepSpeech. A research says that “50% of all…
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Early bird ticket sales is now extended
Read More ↗︎: Early bird ticket sales is now extendedIt’s less than 20 early bird tickets left after a week long of early bird ticket sales, and we announces to extend early bird ticket sales to 28 October 23:00 HKT for remain early bird tickets. Let’s get your PyCon HK 2018 Ticket now at Eventbrite!
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Announcing 1st round of sessions in 2018
Read More ↗︎: Announcing 1st round of sessions in 2018PyCon Hong Kong announces 1st round of sessions in 2018. Breast cancer classification in digital pathology using Python and Deep Learning by Scotty Kwok is the keynote of this year. Breast cancer is one of the leading cancer-related death causes worldwide, specially for women. In this keynote, speaker will talk about how Deep Learning & Python…
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Breast cancer classification in digital pathology using Python and Deep Learning
Read More ↗︎: Breast cancer classification in digital pathology using Python and Deep LearningBreast cancer is one of the leading cancer-related death causes worldwide, specially for women. In this talk, we will talk about how Deep Learning & Python could help pathologists to classify breast cancer microscopic images. The speaker will share his approach that won the “ICIAR 2018 Grand Challenge on Breast Cancer Histology images”, which was implemented…
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Sessions 2018
Read More ↗︎: Sessions 2018Hereby is partial list of sessions in PyCon Hong Kong 2018. Keynotes Breast cancer classification in digital pathology using Python and Deep Learning (Scotty Kwok) (English) (Hong Kong) General Sessions in English Neural network image recognition: A “Kong girl” approach to DIY photo sorting (Claire Chung) (English) (Hong Kong) Exploiting Emotional Knowledge from Emojis and…
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Ticket – PyCon HK 2018
Read More ↗︎: Ticket – PyCon HK 2018PyCon HK 2018: 23-24 November 2018 (Friday-Saturday) @ Cyberport 3 Get your PyCon HK 2018 Ticket: Eventbrite Regular Ticket are HK$ 500 each. Donation Ticket are HK$ 1,000 each. This donation is tax-exemptable in Hong Kong. Donations made to Hong Kong non-profit charity organisation (Cap. 88): Hong Kong Creative Open Technology Association (HKCOTA), buyer name…
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Call for Sponsorship 2018
Read More ↗︎: Call for Sponsorship 2018We calls for sponsorships to PyCon Hong Kong 2018. In 2018, we are going to organize fourth PyCon HK in Hong Kong with the date on November 23-24 (Friday-Saturday). PyCon HK will be organized by a committee which members are from Hong Kong Creative Open Technology Association (HKCOTA), Open Source Hong Kong (OSHK) and the…
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Call for Volunteers 2018
Read More ↗︎: Call for Volunteers 2018We are looking for volunteers for PyCon HK 2018 to help out: Operation: Infodesk & Checkin, F&B, Facility, Shuttle Bus, Move-in, Move-out Program: Session Host (MC). Photo Video You are welcome to fill the volunteer application form before 8 November (Thu), and we will contact with you for an interview if needed.
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Call for Proposals 2018
Read More ↗︎: Call for Proposals 2018PyCon Hong Kong 2018 (23–24 Nov) is now calling for proposals, CFP will be closed at the end of this month (31 Aug). Welcome to submit proposals to PyCon HK this year. Submit your proposals: http://bit.ly/2AMNhfZ
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