Neural Networks | Нейронные сети
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​Наглядное объяснение регуляризации линейных моделей.

https://explained.ai/regularization/index.html

🔗 A visual explanation for regularization of linear models
A deep dive into exactly how regularization works, using visualizations rather than (just) mathematics. This article also dispels some myths and answer some important questions about Lasso and Ridge regression.
​Наглядное объяснение регуляризации линейных моделей.

https://explained.ai/regularization/index.html

🔗 A visual explanation for regularization of linear models
A deep dive into exactly how regularization works, using visualizations rather than (just) mathematics. This article also dispels some myths and answer some important questions about Lasso and Ridge regression.
hkchengrex/CascadePSP

🔗 hkchengrex/CascadePSP
[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement - hkchengrex/CascadePSP
​Какие нейросети умеют петь и исполнять дэт-метал

🔗 Какие нейросети умеют петь и исполнять дэт-метал
Расскажем об интеллектуальных инструментах, способных генерировать треки и даже тексты песен. Речь пойдет о решениях корпораций и лабораторий, а также разработка...
​Какие нейросети умеют петь и исполнять дэт-метал

🔗 Какие нейросети умеют петь и исполнять дэт-метал
Расскажем об интеллектуальных инструментах, способных генерировать треки и даже тексты песен. Речь пойдет о решениях корпораций и лабораторий, а также разработка...
🎥 The Spectrogram and the Gabor Transform
👁 1 раз 795 сек.
Here I introduce the spectrogram, which is a moving-window Fourier transform, giving insight into the time-frequency content of a data set.

Book Website: http://databookuw.com
Book PDF: http://databookuw.com/databook.pdf

These lectures follow Chapter 2 from:
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz

Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/

Brunton Website: eigensteve.com
🎥 Machine Learning in R | Data Science for Beginners | Random Forest | Boston House Data | Regression
👁 1 раз 552 сек.
#datascience #machinelearning #dataanalyst #R
Download End-to-End Notebooks in Python and R for Citizen Data Scientists and Machine Learning Developers from https://wacamlds.podia.com/end-to-end-notebooks-for-citizen-data-scientists?coupon=WACAMLDS80

Practice makes perfect. Please practise this recipe on your own IDE to speed up your learning in the field of Applied Data Science & Machine Learning. Search the title at https://setscholars.net and Download code from https://setscholars.net

This end-to-end
🎥 What are GANs ? | Introduction to Generative Adversarial Networks | Face Generation & Editing - 30
👁 1 раз 231 сек.
Artificial Intelligence terms explained in a minute for everyone! This week's term is GAN. More precisely, Generative Adversarial Networks, a recent class of machine learning frameworks that was first introduced by Ian Goodfellow and his colleagues in 2014. Ask any questions or remarks you have in the comments, I will gladly answer to everything!



Read more about the first example "The Zootopia transformations": https://www.vice.com/en_us/article/884wek/ai-algorithm-turns-humans-into-animals
The 2014 pa
​Домашний кластер на Dask

🔗 Домашний кластер на Dask
Я недавно проводил исследование, в рамках которого было необходимо обработать несколько сотен тысяч наборов входных данных. Для каждого набора — провести некото...