A Style-Aware Content Loss for Real-time HD Style Transfer
Source code for the ECCV18 paper:
https://github.com/CompVis/adaptive-style-transfer
Source code for the ECCV18 paper:
https://github.com/CompVis/adaptive-style-transfer
GitHub
GitHub - CompVis/adaptive-style-transfer: source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer - CompVis/adaptive-style-transfer
Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research https://ai.googleblog.com/2018/08/introducing-new-framework-for-flexible.html
Googleblog
Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
How and When to Use a Calibrated Classification Model with scikit-learn https://machinelearningmastery.com/calibrated-classification-model-in-scikit-learn/
Google launches new search engine to help scientists find the datasets they need
https://www.theverge.com/2018/9/5/17822562/google-dataset-search-service-scholar-scientific-journal-open-data-access
https://www.theverge.com/2018/9/5/17822562/google-dataset-search-service-scholar-scientific-journal-open-data-access
The Verge
Google launches new search engine to help scientists find the datasets they need
Dataset Search could be a scientist’s best friend
Analysis of the tonality of texts using convolutional neural networks
https://habr.com/company/mailru/blog/417767/
https://habr.com/company/mailru/blog/417767/
Habr
Анализ тональности текстов с помощью сверточных нейронных сетей
Представьте, что у вас есть абзац текста. Можно ли понять, какую эмоцию несет этот текст: радость, грусть, гнев? Можно. Упростим себе задачу и будем классифицировать эмоцию как позитивную или как...
Conceptual Captions: A New Dataset and Challenge for Image Captioning https://ai.googleblog.com/2018/09/conceptual-captions-new-dataset-and.html
Google AI Blog
Conceptual Captions: A New Dataset and Challenge for Image Captioning
Posted by Piyush Sharma, Software Engineer and Radu Soricut, Research Scientist, Google AI The web is filled with billions of images, help...
Lite Intro into Reinforcement Learning https://towardsdatascience.com/lite-intro-into-reinforcement-learning-857ca5c924d9?gi=692d05ca6c3d
Medium
Lite Intro into Reinforcement Learning 🤖
This is a brief introduction into Reinforcement Learning (RL) going through the basics in simplified terms. We start with a brief overview…
Simple introduction to the ALU for neural networks: explanation, physical meaning and implementation https://habr.com/post/422777/
Хабр
Простое введение в АЛУ для нейронных сетей: пояснение, физический смысл и реализация
Недавно исследователи из Google DeepMind, в том числе известный учёный в сфере искусственного интеллекта, автор книги "Разбираемся в глубоком обучении", Эндрю Тр...
Healthcare Dataset with #PySpark
Back to some #BigData stuff: article about quick-and-dirty development of prediction algorithm using #Spark engine.
Link: https://towardsdatascience.com/healthcare-dataset-with-spark-6bf48019892b
Back to some #BigData stuff: article about quick-and-dirty development of prediction algorithm using #Spark engine.
Link: https://towardsdatascience.com/healthcare-dataset-with-spark-6bf48019892b
Medium
Healthcare Dataset with Spark
Spark is an open source project from Apache. It is also the most commonly used analytics engine for big data and machine learning.
Highlights from the European Conference on Computer Vision 2018 https://blog.alookanalytics.com/2018/09/12/highlights-from-the-european-conference-on-computer-vision-2018/
GMM-UBM и алгоритма MAP adaptation https://habr.com/post/420515/
Habr
Диаризация на основе модели GMM-UBM и алгоритма MAP adaptation
Привет, Хабр. Я бы хотел рассказать об одном из подходов в решении задачи диаризации дикторов и показать, как этот метод можно реализовать на языке python. Чтобы не отпугивать читателя, я не буду...
Introducing the Unrestricted Adversarial Examples Challenge https://ai.googleblog.com/2018/09/introducing-unrestricted-adversarial.html
blog.research.google
Introducing the Unrestricted Adversarial Examples Challenge
How to Model Human Activity From Smartphone Data https://machinelearningmastery.com/how-to-model-human-activity-from-smartphone-data/
MachineLearningMastery.com
How to Model Human Activity From Smartphone Data - MachineLearningMastery.com
Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. It is a challenging problem given the large number of observations produced each…
A new understanding of Batch Normalization https://medium.com/@geetankr/a-new-understanding-of-batch-normalization-e11e05e120dc
Medium
A new understanding of Batch Normalization
Batch Normalization(BN) was introduced by [1] back in 2015. Since then it has been used in the most deep learning models to improve…
Machine Learning Crash Course
with TensorFlow APIs https://developers.google.com/machine-learning/crash-course/
with TensorFlow APIs https://developers.google.com/machine-learning/crash-course/
Google for Developers
Machine Learning | Google for Developers
deep learning object detection
A paper list of object detection using deep learning.
https://github.com/hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
https://github.com/hoya012/deep_learning_object_detection
GitHub
GitHub - hoya012/deep_learning_object_detection: A paper list of object detection using deep learning.
A paper list of object detection using deep learning. - hoya012/deep_learning_object_detection
How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition https://machinelearningmastery.com/cnn-models-for-human-activity-recognition-time-series-classification/