Convolutional Methods for Text
https://medium.com/@TalPerry/convolutional-methods-for-text-d5260fd5675f
https://medium.com/@TalPerry/convolutional-methods-for-text-d5260fd5675f
Medium
Convolutional Methods for Text
tl;dr
The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
https://github.com/msracver/Deep-Image-Analogy
https://github.com/msracver/Deep-Image-Analogy
GitHub
GitHub - msracver/Deep-Image-Analogy: The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
The source code of 'Visual Attribute Transfer through Deep Image Analogy'. - msracver/Deep-Image-Analogy
A Gentle Introduction to Long Short-Term Memory Networks by the Experts
http://machinelearningmastery.com/gentle-introduction-long-short-term-memory-networks-experts/
http://machinelearningmastery.com/gentle-introduction-long-short-term-memory-networks-experts/
MachineLearningMastery.com
A Gentle Introduction to Long Short-Term Memory Networks by the Experts - MachineLearningMastery.com
Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems. This is a behavior required in complex problem domains like machine translation, speech recognition, and more.…
A web-based application for quick and scalable construction of massive machine learning ensembles.
https://github.com/reiinakano/xcessiv
https://github.com/reiinakano/xcessiv
GitHub
GitHub - reiinakano/xcessiv: A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling…
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
Python Library for Model Agnostic Interpretation
https://github.com/datascienceinc/Skater
https://github.com/datascienceinc/Skater
Applying deep learning to real-world problems
https://medium.com/merantix/applying-deep-learning-to-real-world-problems-ba2d86ac5837
https://medium.com/merantix/applying-deep-learning-to-real-world-problems-ba2d86ac5837
Medium
Applying deep learning to real-world problems
3 lessons from our work at Merantix
Principal components analysis
https://www.neuraldesigner.com/blog/principal-components-analysis
https://www.neuraldesigner.com/blog/principal-components-analysis
Neuraldesigner
Understanding principal components analysis (PCA) | Neural Designer
Principal component analysis allows us to reduce the size of a data set without much loss of information. Read this blog to learn how to do it !
Карта артистов, неуклюжий поиск связей в данных и как можно изобрести велосипед
https://habrahabr.ru/post/329250/
https://habrahabr.ru/post/329250/
Хабр
Карта артистов, неуклюжий поиск связей в данных и как можно изобрести велосипед
Недавно смотрел серию видео популяризатора математики. Там он пытается рассказывать про математический анализ и линейную алгебру немного с позиции человека, кото...