ВТБ и «Сколково» приглашают вас принять участие в чемпионате по анализу данных.
Вас ждут 2 задачи:
Goodsification — определение категории товара по данным из смоделированных чеков.
Brandefine — извлечение бренда товара из названия продукта.
— Общий призовой фонд 2 000 000 рублей
— Уникальный датасет из 8 000 000 смоделированных чеков
— 2 актуальные задачи для оттачивания своих навыков
Регистрируйтесь: https://data-fusion.ru/
Также чемпионат доступен на Boosters.pro
Вас ждут 2 задачи:
Goodsification — определение категории товара по данным из смоделированных чеков.
Brandefine — извлечение бренда товара из названия продукта.
— Общий призовой фонд 2 000 000 рублей
— Уникальный датасет из 8 000 000 смоделированных чеков
— 2 актуальные задачи для оттачивания своих навыков
Регистрируйтесь: https://data-fusion.ru/
Также чемпионат доступен на Boosters.pro
TracIn — A Simple Method to Estimate Training Data Influence
https://ai.googleblog.com/2021/02/tracin-simple-method-to-estimate.html
@tensorflowblog
https://ai.googleblog.com/2021/02/tracin-simple-method-to-estimate.html
@tensorflowblog
research.google
TracIn — A Simple Method to Estimate Training Data Influence
Posted by Frederick Liu and Garima Pruthi, Software Engineers, Google Research The quality of a machine learning (ML) model’s training data can hav...
https://blog.tensorflow.org/2021/02/accelerated-inference-on-arm-microcontrollers-with-tensorflow-lite.html
@tensorflowblog
@tensorflowblog
blog.tensorflow.org
Accelerated inference on Arm microcontrollers with TensorFlow Lite for Microcontrollers and CMSIS-NN
TensorFlow Lite for Microcontrollers has performance optimizations for Arm Cortex-M
https://blog.tensorflow.org/2021/02/how-openx-trains-and-serves-for-million-queries-per-second.html
@tensorflowblog
@tensorflowblog
blog.tensorflow.org
How OpenX Trains and Serves for a Million Queries per Second in under 15 Milliseconds
How OpenX Trains and Serves for a Million Queries per Second in under 15 Milliseconds with TFX.
https://blog.tensorflow.org/2021/02/variational-inference-with-joint-distributions-in-tensorflow-probability.html
@tensorflowblog
@tensorflowblog
blog.tensorflow.org
Variational Inference with Joint Distributions in TensorFlow Probability
TensorFlow Probability introduces tools for building variational inference surrogate posteriors. We demonstrate them by estimating Bayesian credible
Introducing Model Search: An Open Source Platform for Finding Optimal ML Models
https://ai.googleblog.com/2021/02/introducing-model-search-open-source.html
@tensorflowblog
https://ai.googleblog.com/2021/02/introducing-model-search-open-source.html
@tensorflowblog
research.google
Introducing Model Search: An Open Source Platform for Finding Optimal ML Models
Posted by Hanna Mazzawi, Research Engineer and Xavi Gonzalvo, Research Scientist, Google Research The success of a neural network (NN) often depend...
The Technology Behind Cinematic Photos
https://ai.googleblog.com/2021/02/the-technology-behind-cinematic-photos.html
@tensorflowblog
https://ai.googleblog.com/2021/02/the-technology-behind-cinematic-photos.html
@tensorflowblog
Googleblog
The Technology Behind Cinematic Photos
Lyra: A New Very Low Bitrate Codec for Speech Compression
https://ai.googleblog.com/2021/02/lyra-new-very-low-bitrate-codec-for.html
@tensorflowblog
https://ai.googleblog.com/2021/02/lyra-new-very-low-bitrate-codec-for.html
@tensorflowblog
research.google
Lyra: A New Very Low-Bitrate Codec for Speech Compression
Posted by Alejandro Luebs, Software Engineer and Jamieson Brettle, Product Manager, Chrome Connecting to others online via voice and video calls is...
Transfer Learning for Audio Data with YAMNet
https://blog.tensorflow.org/2021/03/transfer-learning-for-audio-data-with-yamnet.html
@tensorflowblog
https://blog.tensorflow.org/2021/03/transfer-learning-for-audio-data-with-yamnet.html
@tensorflowblog
blog.tensorflow.org
Transfer Learning for Audio Data with YAMNet
This post will guide you through training an audio classification model, built using transfer learning with YAMNet, to recognize sounds of cats & dogs
PAIRED: A New Multi-agent Approach for Adversarial Environment Generation
https://ai.googleblog.com/2021/03/paired-new-multi-agent-approach-for.html
@tensorflowblog
https://ai.googleblog.com/2021/03/paired-new-multi-agent-approach-for.html
@tensorflowblog
Googleblog
PAIRED: A New Multi-agent Approach for Adversarial Environment Generation
Accelerating Neural Networks on Mobile and Web with Sparse Inference
https://ai.googleblog.com/2021/03/accelerating-neural-networks-on-mobile.html
@tensorflowblog
https://ai.googleblog.com/2021/03/accelerating-neural-networks-on-mobile.html
@tensorflowblog
Googleblog
Accelerating Neural Networks on Mobile and Web with Sparse Inference
A New Lens on Understanding Generalization in Deep Learning
https://ai.googleblog.com/2021/03/a-new-lens-on-understanding.html
@tensorflowblog
https://ai.googleblog.com/2021/03/a-new-lens-on-understanding.html
@tensorflowblog
Google AI Blog
A New Lens on Understanding Generalization in Deep Learning
Hanie Sedghi, Google Research and Preetum Nakkiran, Harvard University Understanding generalization is one of the fundamental unsolved pr...
Forwarded from Machinelearning
Train and serve a TensorFlow model with TensorFlow Serving
https://www.tensorflow.org/tfx/tutorials/serving/rest_simple
Code: https://github.com/tensorflow/tfx/blob/master/docs/tutorials/serving/rest_simple.ipynb
Dataset: https://github.com/zalandoresearch/fashion-mnist
@ai_machinelearning_big_data
https://www.tensorflow.org/tfx/tutorials/serving/rest_simple
Code: https://github.com/tensorflow/tfx/blob/master/docs/tutorials/serving/rest_simple.ipynb
Dataset: https://github.com/zalandoresearch/fashion-mnist
@ai_machinelearning_big_data
TensorFlow
Train and serve a TensorFlow model with TensorFlow Serving | TFX
LEAF: A Learnable Frontend for Audio Classification
https://ai.googleblog.com/2021/03/leaf-learnable-frontend-for-audio.html
@tensorflowblog
https://ai.googleblog.com/2021/03/leaf-learnable-frontend-for-audio.html
@tensorflowblog
research.google
LEAF: A Learnable Frontend for Audio Classification
Posted by Neil Zeghidour, Research Scientist, Google Research Developing machine learning (ML) models for audio understanding has seen tremendous p...
Contactless Sleep Sensing in Nest Hub
https://ai.googleblog.com/2021/03/contactless-sleep-sensing-in-nest-hub.html
@tensorflowblog
https://ai.googleblog.com/2021/03/contactless-sleep-sensing-in-nest-hub.html
@tensorflowblog
Googleblog
Contactless Sleep Sensing in Nest Hub