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.@jeremyphoward will deliver a keynote at #JupyterCon2020! Jeremy is a Co-Founder of @fastdotai, a Researcher in Residence at @usfca, and the Chief Scientist at @platform_ai. Register: bit.ly/jupytercon2020

JupyterCon's tweet image. .@jeremyphoward will deliver a keynote at #JupyterCon2020! Jeremy is a Co-Founder of @fastdotai, a Researcher in Residence at @usfca, and the Chief Scientist at @platform_ai.

Register: bit.ly/jupytercon2020

Classifying fashion, cars, products, hotel rooms, real estate, medical, aerial images - all done in 1 week by @fellowshipai fellows youtube.com/playlist?list=… #democratization #deeplearning #ai #nocode


platform ai reposted

While taking @jeremyphoward 's course.fast.ai I tried out @platform_ai. In a few minutes I was able to label and classify over 1,000 images. Hello #deeplearning for #retail! Nice to meet you :)


platform ai reposted

Impressive vision @jeremyphoward of making #deeplearning available for all, fastai courses/library course.fast.ai and @platform_ai are huge steps; I assume you have thought about using @googledevs #Blockly, with fastai/@PyTorch- could be amazing e.g. @MSMakeCode apps

KitMacleod's tweet image. Impressive vision @jeremyphoward of making #deeplearning available for all, fastai courses/library course.fast.ai and @platform_ai are huge steps; I assume you have thought about using @googledevs #Blockly, with fastai/@PyTorch- could be amazing e.g. @MSMakeCode apps
KitMacleod's tweet image. Impressive vision @jeremyphoward of making #deeplearning available for all, fastai courses/library course.fast.ai and @platform_ai are huge steps; I assume you have thought about using @googledevs #Blockly, with fastai/@PyTorch- could be amazing e.g. @MSMakeCode apps

platform ai reposted

We arXived our paper (arxiv.org/abs/1905.05865) with State of the Art results on using Mixtures of Experts 4 Survival Anlysis. Our proposed model beats Deep Surv (arxiv.org/abs/1606.00931) on multiple std datasets, while retaining intrpretability via linearity. @mldcmu #ML4H #MLHC


platform ai reposted

We launched platform.ai only five months ago and today we hit 1024 users! Domain experts are building their own applications in medical, quality assurance, fashion, nutrition, real estate, plant biology ... #deeplearning #democratization


platform ai reposted

#DSW19 MAY 9 @PerthMLGroup live demo on how to use @platform_ai to perform multi-classes image #labelling and #predictions without #code. Reg: ow.ly/dffB50tMrRr @moodymwlee will discuss #convolutional #neuralnetwork #hyperparameter #optimisation techniques & impacts


We are working on adding word embedding capabilities to platform including some new work on how to train these models platform.ai/blog/page/15/a… #mlearning


Label a few images and hit train, the special loss function we use will make your next projection much better platform.ai/blog/page/11/t… #DeepLearning


A user labels a few images, we start focusing on the relevant bits to make labeling even faster platform.ai/blog/page/9/at… #mlearning


New State-of-the-art in Logo Detection Using YOLOv3 and Darknet platform.ai/blog/page/7/ne… #mlearning #SOTA


Surpassing Human Judgement for Fashion Style platform.ai/blog/page/5/su… #mlearning #SOTA


platform ai reposted

If you missed the @platform_ai webinar today, here is a recording youtube.com/watch?v=CUOEpn… #webinar #DeepLearning


Using recognition models on face attributes; a semi-supervised approach for Celeb-A platform.ai/blog/page/4/us… #FacialRecognition #DeepLearning


New Food-101 SoTA with @fastdotai and our augmentation search platform.ai/blog/page/3/ne… #mlearning


Automatically Finding Useful Augmentations with Minimal Use of Compute #mlearning @fastdotai platform.ai/blog/page/2/au…


platform ai reposted

1/ Excited to share something I've been working on for a while now. Troubleshooting Deep Neural Networks: a decision tree for debugging your model and improving performance. josh-tobin.com/troubleshootin…


Highly anticipated "Practical Deep Learning for Coders" by @fastdotai is out! Spoiler alert, in lesson 6 @jeremyphoward demonstrates a tool that self-reliant domain experts can use to train their own #DeepLearning models course.fast.ai/videos/?lesson…


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