​UberAI introduces a new approach for making Neural Networks process images faster & more accurately with jpeg representations.

Link: https://eng.uber.com/neural-networks-jpeg/
Paper: https://papers.nips.cc/paper/7649-faster-neural-networks-straight-from-jpeg

#nn #CV #Uber

🔗 Faster Neural Networks Straight from JPEG
Uber AI Labs introduces a method for making neural networks that process images faster and more accurately by leveraging JPEG representations.

TensorFlow high-level APIs: Part 2
https://www.youtube.com/watch?v=TOP2aLxcuu8

🎥 TensorFlow high-level APIs: Part 2 - going deep on data and features
👁 4 раз ⏳ 309 сек.
Welcome to Part 2 of our mini-series on TensorFlow high-level APIs! In this 3 part mini-series, TensorFlow Engineering Manager Karmel Allison runs us through different scenarios using TensorFlow’s high-level APIs.

In this part, Karmel discusses preparing data for machine learning, including using Feature Columns, categorical data, and more.

Building a ML model takes a lot of time, effort, and often involves multiple stages. Luckily, TensorFlow high-level APIs aim to help you along with each stage, from th