New blog post! "My First Year at UW-Madison and a Gallery of Awesome Student Projects" -- a gallery of awesome Machine and Deep Learning projects our @UWMadisonSTATS undergrads were working on: https://t.co/xEetakYddv pic.twitter.com/wztdqaReFX
— Sebastian Raschka (@rasbt) May 25, 2019
Plotting the sentiment of the Game of Thrones audience as the finale unfolds, on a $5 budget, with Google Cloud Platform and Keras https://t.co/urLYAtGOJS pic.twitter.com/aRk4jqfU3I
— François Chollet (@fchollet) May 24, 2019
Can you predict the popularity of an Instagram post? Using a mixed input neural network, Guilherme Regos Zamorano thinks he can. Read his blog post via @TDataScience 👉https://t.co/eTsZDgKoFl pic.twitter.com/N4HpqRrQUf
— Kaggle (@kaggle) May 24, 2019
A moving demonstration that deep learning is all about adding depth where it wasn't before.. https://t.co/wBfKzy3MpM
— Jeff Dean (@JeffDean) May 24, 2019
Naver uses TensorFlow to match millions of products daily to over 5,000 shopping categories.
— TensorFlow (@TensorFlow) May 20, 2019
Find out how they improve accuracy and create a more user-friendly shopping experience in this guest article by the engineering team.
Read more here ↓ https://t.co/xbHsGKyhbT
Researchers and grad students have been quickly adopting TensorFlow 2.0 + Keras. Here's a fun collection of generative models: https://t.co/we6rsFi9mX
— François Chollet (@fchollet) May 14, 2019
This covers fastai's most important APIs: data blocks and learner/callbacks. Really nice project! https://t.co/EMPoVspR9q
— Jeremy Howard (@jeremyphoward) May 10, 2019
Finals' week is actually quite fun this semester as my student wrote some excellent project reports for their DL class projects: "Audio Classification Using Convolutional Neural Networks" https://t.co/AHSwfj9FFR pic.twitter.com/vfMajpbxT5
— Sebastian Raschka (@rasbt) May 9, 2019
Universal Music Translation Network: translating music across musical instruments and styles using unsupervised traininghttps://t.co/gZGUKCgEe2 pic.twitter.com/gIXiaIIDNZ
— PyTorch (@PyTorch) May 7, 2019
Presenting "Decrappification, DeOldification, and Super Resolution", with @citnaj, @manorlaboratory & many collaborators. Click below to learn about brain mapping, restoring classic movies, & more!
— Jeremy Howard (@jeremyphoward) May 4, 2019
Special thanks to @PyTorch, @salkinstitute & @313V.https://t.co/LUavSCk4zS pic.twitter.com/QhYtoLLVWX
Improving the resolution of microscopy images and adding color to old movies using fastai, @PyTorch, U-Nets, feature loss, & 1-cycle learning (almost no GANs needed!). Great #F8 talk by @jeremyphoward @citnaj @manorlaboratory https://t.co/x5GIyOcSau pic.twitter.com/ALkCjVbeSX
— Rachel Thomas (@math_rachel) May 4, 2019
"Deep learning to identify Malaria cells using CNN on Kaggle" by @bhanotkaran22 via @TDataScience 👍👍https://t.co/Yri3KPphRL
— Kaggle (@kaggle) May 1, 2019
