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Stay on top of all exciting new developments in #DeepLearning. Every week fresh to your inbox: https://teapaw.org/t.co/04EU35uVE5 Sponsored by Comet (@Cometml)

New York, NY
Joined August 2016
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Deep Learning Weekly retweeted
LLMs and RAGs are powerful, but without a strong evaluation pipeline, you're flying blind. Here's how to systematically test and improve your GenAI Apps. 🧵 (1/6)
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Deep Learning Weekly retweeted
In 2015 the ResNet paper was first published and the way we think about DL completely changed. So how do we approach DL now and what problems still exist? Learn more from @DataScienceHarp. bit.ly/3FoXWeO
Deep Learning Weekly retweeted
So I finally had a chance to check out the latest updates to the @Gradio library and I'm a huge fan! Here are some of the features I found particularly useful. 🧵👇
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Deep Learning Weekly retweeted
🤖 What's more, we took the reins of the industry-leading newsletter @dl_weekly, which we're proud to be ushering into 2021. Our latest issue shares the best of the best over the past year, but be sure to subscribe if you haven't. /4 bit.ly/3Hj3CpL
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Deep Learning Weekly retweeted
Thrilled to share our new industry report, co-authored with our friends @spell_ml! 🧐Differentiating ML on mobile 📊Current state of the industry 🛍️Industry-specific potential 🚧Development opportunities and roadblocks Download for free: fritz.ai/ebooks/mobile-machi…
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Deep Learning Weekly retweeted
We released our new interactive annotation approach, which outperforms Polygon-RNN++ and is 10x faster. Great work by @HuanLing6, @JunGao33210520, @amlankar95, @ChenWenzheng! Paper: arxiv.org/pdf/1903.06874.pdf Video: youtube.com/watch?v=ycD2BtO-… Code (@PyTorch): github.com/fidler-lab/curve-…
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Deep Learning Weekly retweeted
My 1st @GoogleAI Residency paper is finally on arxiv! We train a powerful generative model of fonts as SVG instead of pixels. This highly structured format enables manipulation of font styles and style transfer between characters at arbitrary scales! 👉🏽 arxiv.org/abs/1904.02632
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Deep Learning Weekly retweeted
At last week's #TFDevSummit, we saw an on-stage demo of the Coral edge TPU dev board. Heartbeat contributor @saumyasroy got his hands on a USB Accelerator, and he shared with us his early impressions. heartbeat.fritz.ai/edge-tpu-…
Deep Learning Weekly retweeted
The next stage of "Fashion/Human image synthesis" with GANs? Higher-res datasets are needed. ファッション画像の生成 ポーズ条件を使わないで、ノイズから生成できてしまった笑 ポージングが滑らかに変化する瞬間が👍 #GAN #fashion
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Deep Learning Weekly retweeted
A new technique for analyzing how neural nets make decisions. Not necessarily incomprehensible black boxes after all! teapaw.org/OpenAI/status/11033396…
In collaboration with Google, we're releasing Activation Atlases: a new technique for visualizing what interactions between neurons can represent. 💻Blog: blog.openai.com/introducing-… 📝Paper: distill.pub/2019/activation-… 🔤Code: github.com/tensorflow/lucid/… 🗺️Demo: distill.pub/2019/activation-…
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Deep Learning Weekly retweeted
Would you like to join our team and lead a junior group that applies AI methods to neuroimaging with fMRI? AI and fMRI expertise, MR scanners, data and GPUs are waiting for you. uk-essen.de/fileadmin/Bildun…
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Deep Learning Weekly retweeted
MaskRCNN-Benchmark: - A fast, modular reference of {Mask,Faster}RCNN - by @fvsmassa (PyTorch), optimized by Nvidia - reusable components, pre-trained models - optimized inference, live demo Hope to see mmdetection and other great projects reuse the code! github.com/facebookresearch/…
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Deep Learning Weekly retweeted
#GTC18 is around the corner! Get a glimpse of what awaits you at GTC Europe in Munich, Oct 10-11. Meet the brightest minds in #AI! nvda.ws/2Lep7M9
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Deep Learning Weekly retweeted
Most AI problems have long tails -- like giraffes. Natural language question-answering, autonomous driving, fraud detection... To perform well on the long tail, we must go beyond pattern recognition (what deep learning does) and develop systems capable of abstraction & reasoning.
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Deep Learning Weekly retweeted
RT @afshinea 🔥Set of illustrated Machine Learning cheat sheets from Stanford's CS 229 class: Deep Learning: stanford.io/2BsQ91Q Supervised Learning: stanford.io/2nRlxxp Unsupervised Learning: stanford.io/2MmP6FN Tips and tricks: stanford.io/2MEHwFM
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Deep Learning Weekly retweeted
Video-to-Video Synthesis at 2K resolution. Given input video eg outlines, transforms it into photorealistic temporally smooth video. Works on edge-to-face, pose-to-body, & streets. Learns a network to warp frames. Paper: tcwang0509.github.io/vid2vid… Code: github.com/NVIDIA/vid2vid
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Replying to @dl_weekly
@dl_weekly Thanks for mentioning the MIT project on the ethics of self-driving cars, Moral Machine! The same research group is now doing a similar project, DeepMoji. Check it out and participate here! #DeepMoji deepmoji.mit.edu/contribute/…
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Deep Learning Weekly retweeted
My blog post on quantization, in this week's edition of @dl_weekly Check it out! sahnimanas.github.io/2018/06…
🔥 Deep Learning Weekly - 🤖 - Issue #92: Recruitment at Facebook, AutoKeras vs. AutoML, ImageNet training in 18 Minutes, Sneakers, Low Precision, Transfer Learning in NLP and more… digest.deeplearningweekly.co…
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Deep Learning Weekly retweeted
Glad to see our summary of the state of AI vs human translation in this week's @dl_weekly! If you have not yet, check out the editorial: skynettoday.com/editorials/s…
🔥 Deep Learning Weekly - 🤖 - Issue #91: Neural Machine Translation, Edge TPUs, Deciphering RNAs, Edge TPUs, Differentiable Image Parameterizations, AutoGraph & more... digest.deeplearningweekly.co… #deeplearning #machinelearning #ai
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