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Prikvačeni tweet
1/ Excited to share our NeurIPS paper, Geometry-Aware Neural Rendering! https://arxiv.org/abs/1911.04554 . With
@pabbeel,@woj_zaremba, and the rest of the@openai robotics teampic.twitter.com/uEeWV4VLnG
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Josh Tobin proslijedio/la je Tweet
Couldn’t be more excited about what we are building! https://medium.com/covariant-ai/bringing-robots-from-lab-to-the-real-world-56062ee93dd5 … Yet, even more excited about
@CovariantAI team, all brilliant and exceptional at working across team boundaries, engineering, research, business, we are all having fun and getting it done together! https://twitter.com/CovariantAI/status/1222560287124930560 …pic.twitter.com/3j3R4wldp4
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Josh Tobin proslijedio/la je Tweet
[VIDEO] for my guest lecture at
@full_stack_dl is now available. "Lessons learned from building practical DL systems"https://www.youtube.com/watch?v=5ygO8FxNB8c …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Josh Tobin proslijedio/la je Tweet
https://bit.ly/2NsHpfw To train bug-free deep learning models, we need to treat building them as an iterative process. In this post, I'd like to share a mental recipe to troubleshoot deep neural networks, as codified by
@josh_tobin_ at@full_stack_dlPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Josh Tobin proslijedio/la je Tweet
Workera recently published a report on AI career pathways. It doesn't mention hardware. I also don't see the difference b/w SWE-ML & ML Engineer. But it highlights some important distinctions. I also like
@josh_tobin_ talk on the structure of AI teams https://www.youtube.com/watch?v=Qb3RhwNb4EM …pic.twitter.com/KysDChOjgR
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Josh Tobin proslijedio/la je Tweet
https://bit.ly/2QL8go6 Data science has never been as much about ML as it has about cleaning, shaping, and moving data from place to place. In this post, I shared 5 data management concepts to ensure data quality for your models, as a courtesy of
@sergeykarayev at@full_stack_dlHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Josh Tobin proslijedio/la je Tweet
Are We Making Real Progress in Simulated Environments? Yes — if the simulator is optimized. It turns out correlation between simulation and reality can be quantified and leveraged to identify/combat ways agents cheat in simulation. http://arxiv.org/abs/1912.06321 http://abhiskk.github.io/sim2real
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Josh Tobin proslijedio/la je Tweet
Every day, hundreds of Cruise engineers interact with data collected on the road and in simulation by our AVs. In this presentation, our AV Tools team dives into two of the open-source tools they built to visualize & explore this data: Webviz & Worldview.https://www.youtube.com/watch?v=_3_Bb-dlq0Q&t=3s …
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Josh Tobin proslijedio/la je Tweet
https://bit.ly/2PEzkWD The craft of running Machine Learning teams effectively is not yet matured. In this blog post, I'd like to share key insights on how to do this productively, courtesy of
@josh_tobin_ at@full_stack_dl#managementHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Slides from my talk at NeurIPS yesterday. Geometry-Aware Neural Rendering: improving neural rendering by incorporating network primitives inspired by classical 3D computer vision http://josh-tobin.com/assets/pdf/geometry_aware_neural_rendering_vNeurIPS.pdf …
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Ah, NeurIPS, our one chance a year to catch up with all of our friends from the Bay Area we’re too busy to see in real life
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On my way to Vancouver for NeurIPS! Hope to see many of you there. DM me if you want to meet up, and come see my talk about “Geometry-Aware Neural Rendering” on Wednesday at 4:25 in west ballrooms A+B.
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Josh Tobin proslijedio/la je Tweet
https://bit.ly/35YRuaM The portion of ML code in a real-world ML system is a lot smaller than the infrastructure needed for its support. This blog post shares 7 questions that you should ask to handle ML technical debt, courtesy of
@sergeykarayev at@full_stack_dl#DeepLearningPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Josh Tobin proslijedio/la je Tweet
85% of machine learning projects ultimately fail to deliver on their intended promises to business. In this blog post, I would like to share the 5 steps that you can use to set up your projects up for success, courtesy of
@josh_tobin_ at@full_stack_dlhttps://link.medium.com/12sbMimoU1Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
What are the best resources on avoiding or reducing bias in ML systems?
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Josh Tobin proslijedio/la je Tweet
Only course that stacks up well against mettle of http://fast.ai free Deep learning course by
@jeremyphoward is Full Stack Deep Learning by@pabbeel,@sergeykarayev ,@josh_tobin_ . In-fact FSDL is extremely well suited complement to http://fast.ai 's course.
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Honest question: why do people write on medium? Isn’t the whole point of blogging to get your point of view out there? Paywalling your content limits its reach
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The guide mostly focuses on domain randomization and its extensions, but I touch on simulator design, system ID, and domain adaptation as well. Hope you enjoy!
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I presented it earlier today in
@pabbeel's Advanced Robotics class (https://people.eecs.berkeley.edu/~pabbeel/cs287-fa19/ …)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I wrote a guide on transferring neural networks from simulation to the real world: http://josh-tobin.com/assets/pdf/randomization_and_the_reality_gap.pdf …
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Josh Tobin proslijedio/la je Tweet
This weekend 120+
#deeplearning practitioners joined us from
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and around the #bayarea for a weekend of nonstop lectures, hands-on deployment-level labs, and illuminating lectures by guest speakers@chipro@xamat@vanpelt Franziska Bell.pic.twitter.com/nkcC4l1EdE
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