Learning Representations for Visual Search with Naila Murray
In this episode of our Deep Learning Indaba series, we’re joined by Naila Murray, Senior Research Scientist and Group Lead in the computer vision group at Naver Labs Europe.
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To support our growing content, education, and community programs, I’m looking for a Content & Community Marketing Assistant. This could be you if you’re extremely organized and detail-oriented, with skills in one or more of the following: Email marketing Social media management Website content management You’ll also need to be high energy, a self-starter, resourceful and […]
In my interview with Fast.AI’s Rachel Thomas back in May, I (inadvertently) launched the first TWiML Online Meetup study group. With an intitial group having successfully completed the course, volunteers have stepped up to lead additional course study groups. Please join us as we take on the new Deep Learning for Coders and Machine Learning courses!
Last week Facebook convened their inaugural PyTorch Developer Conference. Highlights of the conference included the release of PyTorch 1.0 beta and a host of ecosystem vendors announcing their support for the framework. Early last year TensorFlow was the presumptive winner of the deep learning framework wars. Since then, PyTorch has grown dramatically in developer mindshare. PyTorch’s […]
A few weeks ago, machine learning & AI researchers, practitioners and students from Africa and around the world met at Stellenbosch University, South Africa, for the second annual Deep Learning Indaba, an event that aims to expand African participation in and contribution to the field. While I wasn’t able to make it to Cape Town, […]
Last week I attended the Microsoft Ignite conference in Orlando. One of the highlights of the experience was the opportunity to hear from Peter Lee, the corporate VP responsible for much of Microsoft’s AI research, their healthcare initiative, and the Microsoft Research labs in Beijing and, as of recently, Shanghai. One of the comments Peter […]
Earlier this summer I posted about my daughter Malaika’s internship with TWiML, exploring the use of machine learning services to transcribe the podcast. She’s off enjoying her freshman year at college now, but she posted an update on her project a few weeks ago that I thought I’d share here. If you’re interested in the state of […]