What Is Data Science? | Data Science Tutorial For Beginners | Data Science Using R | Edureka

🎥 What Is Data Science? | Data Science Tutorial For Beginners | Data Science Using R | Edureka

🎥 Прикладное машинное обучение в электронной коммерции. Александр Сербул (1С-Битрикс)
👁 1 раз ⏳ 3154 сек.

Deep Learning and Hyper-Personalization
https://towardsdatascience.com/deep-learning-and-hyper-personalization-e0d2b1fcb86?source=collection_home---4------0---------------------

https://habr.com/company/ods/blog/431512/

Небольшое исследование свойств простой U-net, классической сверточной сети для сегментации

#machinelearning #neuralnets #deeplearning #машинноеобучение

Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data

Deep Learning and Hyper-Personalization
https://towardsdatascience.com/deep-learning-and-hyper-personalization-e0d2b1fcb86?source=collection_home---4------1---------------------

​Deep Learning: What is it good for? - Prof. Ankit Patel - Rice University

🔗 Deep Learning: What is it good for? - Prof. Ankit Patel - Rice University
"In this talk, we will introduce deep learning and review some of the key advances in the field focusing on current attempts at a theoretical understanding. ...

​Analyzing model improvements - Deep Learning in Halite AI competition p.7

🔗 Analyzing model improvements - Deep Learning in Halite AI competition p.7
Analyzing our neural network model's improvement from random, and then considering our next steps. Channel membership: https://www.youtube.com/channel/UCfzlC...

​A Bag of Tricks for Image Classification

1. Large batch size
2. Mini model-tweaks
3. Refined Training Methods
4. Transfer Learning
5. Fancy Data Augmentation
https://link.medium.com/fzJvIBfsJS

#CV #tipsandtricks

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🎥 Практическое занятие по профилю «Большие данные и машинное обучение» | Олег Ивченко
👁 1 раз ⏳ 6420 сек.

​[1812.06855] Bayesian Optimization in AlphaGo

🔗 [1812.06855] Bayesian Optimization in AlphaGo

​New interesting paper in Super Resolution area https://arxiv.org/abs/1812.04240

🔗 [1812.04240] Unsupervised Degradation Learning for Single Image Super-Resolution

​Коллекция Deep learning курсов от MIT

https://deeplearning.mit.edu/

🔗 MIT Deep Learning
Lectures on deep learning, deep reinforcement learning, artificial intelligence, and autonomous vehicles by Lex Fridman at MIT.

t-SNE: The Bits that No One Learns
https://towardsdatascience.com/t-sne-the-bits-that-no-one-learns-40add9e1978e?source=collection_home---4------2---------------------

https://habr.com/company/toshibarus/blog/433544/

Топ-5 сфер применения систем распознавания объектов

#machinelearning #neuralnets #deeplearning #машинноеобучение

Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data

​Lecture 7 - Reinforcement Learning | Deep Learning on Computational Accelerators

🔗 Lecture 7 - Reinforcement Learning | Deep Learning on Computational Accelerators
Given by Prof. Alex Bronstein

​Share Your AXA Research | Dr. E Ferrante: Deep Learning and Image Registration | AXA Research Fund

🔗 Share Your AXA Research | Dr. E Ferrante: Deep Learning and Image Registration | AXA Research Fund
What if, instead of explaining to a computer how to solve a problem, you let it learn by itself? Deep learning methods offer tremendous opportunities for mac...

​"New astonishing results in face generation by PGGAN author. All these people never existed. No cherry-picking was done"
🔎 arxiv.org/abs/1812.04948
👤 @j_links
📉 @loss_function_porn

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Automated machine learning: a different notion of deep
https://towardsdatascience.com/automated-machine-learning-a-different-notion-of-deep-e0f7e5c06fb2?source=collection_home---4------2---------------------

​afshinea/stanford-cs-229-machine-learning

🔗 afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning - afshinea/stanford-cs-229-machine-learning

https://habr.com/company/tinkoff/blog/432056/

Верификация фотографий в ритейле с помощью Computer vision

#machinelearning #neuralnets #deeplearning #машинноеобучение

Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data