Top 10 Deep Learning Github Repositories 2018. https://www.techleer.com/articles/547-top-10-deep-learning-github-repositories-2018/
Backpropagation And Gradient Descent Tutorial | Deep Learning Tutorial - Part 2 | Edureka
https://www.youtube.com/watch?v=Dws9Zveu9ug&t=312s
https://www.youtube.com/watch?v=Dws9Zveu9ug&t=312s
YouTube
Backpropagation And Gradient Descent Tutorial | Deep Learning Tutorial - Part 2 | Edureka
TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow
Part - 1 Introduction to Neural Networks: https://www.youtube.com/watch?v=WLxI4D01nj8
This Edureka video on "Backpropagation and Gradient Descent Tutorial" is part 2 of the neural…
Part - 1 Introduction to Neural Networks: https://www.youtube.com/watch?v=WLxI4D01nj8
This Edureka video on "Backpropagation and Gradient Descent Tutorial" is part 2 of the neural…
How to Predict Whether a Persons Eyes are Open or Closed Using Brain Waves https://machinelearningmastery.com/how-to-predict-whether-eyes-are-open-or-closed-using-brain-waves/
MachineLearningMastery.com
Predict Whether a Persons Eyes are Open or Closed Using Brain Waves - MachineLearningMastery.com
A Case Study in How to Avoid Methodological Errors when Evaluating Machine Learning Methods for Time Series Forecasting. Evaluating machine learning models on time series forecasting problems is challenging. It is easy to make a small error in the framing…
HyperparameterHunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries https://github.com/HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries https://github.com/HunterMcGushion/hyperparameter_hunter
GitHub
GitHub - HunterMcGushion/hyperparameter_hunter: Easy hyperparameter optimization and automatic result saving across machine learning…
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries - GitHub - HunterMcGushion/hyperparameter_hunter: Easy hyperparameter optimization and ...
The neural network was trained to recognize depression by an arbitrary human speech without context https://habr.com/post/421775/
Хабр
Нейросеть обучили распознавать депрессию по произвольной речи человека без контекста
Нейросеть оценивает эмоциональную окраску 30-секундного фрагмента речи говорящего. Иллюстрация из предыдущей научной работы авторов В последние годы машинное...
How and When to Use ROC Curves and Precision-Recall Curves for Classification in Python https://machinelearningmastery.com/roc-curves-and-precision-recall-curves-for-classification-in-python/
What are the experts in data analysis really doing? Conclusions from 35 interviews https://habr.com/company/wirex/blog/421845/
Хабр
Чем на самом деле занимаются специалисты по анализу данных? Выводы из 35 интервью
Автор материала провел серию бесед с экспертами в области анализа и обработки данных и сделал выводы о перспективах и направлениях развития дата-сайентистов. Т...
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...