Hyper-parameter Tuning Techniques in Deep Learning
https://towardsdatascience.com/hyper-parameter-tuning-techniques-in-deep-learning-4dad592c63c8
🔗 Hyper-parameter Tuning Techniques in Deep Learning
The process of setting the hyper-parameters requires expertise and extensive trial and error. There are no simple and easy ways to set…
https://towardsdatascience.com/hyper-parameter-tuning-techniques-in-deep-learning-4dad592c63c8
🔗 Hyper-parameter Tuning Techniques in Deep Learning
The process of setting the hyper-parameters requires expertise and extensive trial and error. There are no simple and easy ways to set…
Medium
Hyper-parameter Tuning Techniques in Deep Learning
The process of setting the hyper-parameters requires expertise and extensive trial and error. There are no simple and easy ways to set…
На картинке точно есть лицо, его положение четко определено. На выходе нейросети должна выводиться буква, которую произносит лицо, и ничего, если рот закрыт. Планируется использовать ее в видеопотоке
Liquid Splash Modeling With Neural Networks
🔗 Liquid Splash Modeling With Neural Networks
❤️ This video has been kindly supported by my friends at Arm Research. Check them out here! - http://bit.ly/2TqOWAu 📝 The paper "Liquid Splash Modeling with ...
🔗 Liquid Splash Modeling With Neural Networks
❤️ This video has been kindly supported by my friends at Arm Research. Check them out here! - http://bit.ly/2TqOWAu 📝 The paper "Liquid Splash Modeling with ...
YouTube
Liquid Splash Modeling With Neural Networks
❤️ This video has been kindly supported by my friends at Arm Research. Check them out here! - http://bit.ly/2TqOWAu
📝 The paper "Liquid Splash Modeling with Neural Networks" is available here:
https://ge.in.tum.de/publications/2018-mlflip-um/
The Arm word…
📝 The paper "Liquid Splash Modeling with Neural Networks" is available here:
https://ge.in.tum.de/publications/2018-mlflip-um/
The Arm word…
StatsModels: Statistics in Python — statsmodels v0.10.0.dev0+1038.g7a33ef0ba documentation
🔗 StatsModels: Statistics in Python — statsmodels v0.10.0.dev0+1038.g7a33ef0ba documentation
🔗 StatsModels: Statistics in Python — statsmodels v0.10.0.dev0+1038.g7a33ef0ba documentation
🎥 Machine Learning A To Z || Complete Course by Andrew Ng || Beginner to Advance ML || P1
👁 1 раз ⏳ 29758 сек.
👁 1 раз ⏳ 29758 сек.
Welcome to this free online class on machine learning. Machine learning is one of the most exciting recent technologies. And in this class, you learn about the state of the art and also gain practice implementing and deploying these algorithms yourself. You've probably use a learning algorithm dozens of times a day without knowing it. Every time you use a web search engine like Google or Bing to search the internet, one of the reasons that works so well is because a learning algorithm, one implemented by GoVk
Machine Learning A To Z || Complete Course by Andrew Ng || Beginner to Advance ML || P1
Welcome to this free online class on machine learning. Machine learning is one of the most exciting recent technologies. And in this class, you learn about the state of the art and also gain practice implementing and deploying these algorithms yourself. You've…
Нужна помощь!!!! Необходим датасет для нейросети, получающей на вход картинку четко поставленного размера. Кто может скинуть ссылочку??? Или направить где это можно найти? Спасибо
Data scientist: The sexiest job of the 22nd century
Ask these 3 questions to make sure an employer is ready for you
🔗 Data scientist: The sexiest job of the 22nd century
Ask these 3 questions during a job interview to make sure your employer is ready to make data scientists effective
Ask these 3 questions to make sure an employer is ready for you
🔗 Data scientist: The sexiest job of the 22nd century
Ask these 3 questions during a job interview to make sure your employer is ready to make data scientists effective
Towards Data Science
Data scientist: The sexiest job of the 22nd century
Ask these 3 questions during a job interview to make sure your employer is ready to make data scientists effective
The Neural Aesthetic
Notes and around 30 hours of video lectures, by Gene Kogan: http://ml4a.github.io/classes/itp-F18/
#art #artificialintelligence #deeplearning #generativeadversarialnetworks
🔗 ITP-NYU - Fall 2018
Notes and around 30 hours of video lectures, by Gene Kogan: http://ml4a.github.io/classes/itp-F18/
#art #artificialintelligence #deeplearning #generativeadversarialnetworks
🔗 ITP-NYU - Fall 2018
🎥 Deep Learning with Python, TensorFlow, and Keras tutorial
👁 2 раз ⏳ 1234 сек.
👁 2 раз ⏳ 1234 сек.
An updated deep learning introduction using Python, TensorFlow, and Keras.
Text-tutorial and notes: https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/
TensorFlow Docs: https://www.tensorflow.org/api_docs/python/
Keras Docs: https://keras.io/layers/about-keras-layers/
Discord: https://discord.gg/sentdexVk
Deep Learning with Python, TensorFlow, and Keras tutorial
An updated deep learning introduction using Python, TensorFlow, and Keras.
Text-tutorial and notes: https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/
TensorFlow Docs: https://www.tensorflow.org/api_docs/python/
Keras Docs:…
Text-tutorial and notes: https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/
TensorFlow Docs: https://www.tensorflow.org/api_docs/python/
Keras Docs:…
The path to being the best data analyst: Help, Build, then Do.
https://towardsdatascience.com/the-path-to-being-the-best-data-analyst-help-build-then-do-43ed6882d4d3?source=collection_home---4------3---------------------
🔗 The path to being the best data analyst: Help, Build, then Do.
The core competency of a data analyst is “Speed to Insight”.
https://towardsdatascience.com/the-path-to-being-the-best-data-analyst-help-build-then-do-43ed6882d4d3?source=collection_home---4------3---------------------
🔗 The path to being the best data analyst: Help, Build, then Do.
The core competency of a data analyst is “Speed to Insight”.
Towards Data Science
The path to being the best data analyst: Help, Build, then Do.
The core competency of a data analyst is “Speed to Insight”.
🎥 Cramer's rule, explained geometrically | Essence of linear algebra, chapter 12
👁 1 раз ⏳ 732 сек.
👁 1 раз ⏳ 732 сек.
This rule seems random to many students, but it has a beautiful reason for being true.
Full series: http://3b1b.co/eola
Home page: https://www.3blue1brown.com/
Special thanks to these supporters: http://3b1b.co/cramer-thanks
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If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lVk
Cramer's rule, explained geometrically | Essence of linear algebra, chapter 12
This rule seems random to many students, but it has a beautiful reason for being true.
Full series: http://3b1b.co/eola
Home page: https://www.3blue1brown.com/
Special thanks to these supporters: http://3b1b.co/cramer-thanks
----
If you want to contribute…
Full series: http://3b1b.co/eola
Home page: https://www.3blue1brown.com/
Special thanks to these supporters: http://3b1b.co/cramer-thanks
----
If you want to contribute…
Bayesian Modeling of Pro Overwatch Matches with PyMC3
https://towardsdatascience.com/bayesian-modeling-of-pro-overwatch-matches-with-pymc3-f1b7d5fc22f1?source=collection_home---4------2---------------------
🔗 Bayesian Modeling of Pro Overwatch Matches with PyMC3
Professional eSports are becoming increasingly popular, and the industry is growing rapidly. Many of these professional game leagues are…
https://towardsdatascience.com/bayesian-modeling-of-pro-overwatch-matches-with-pymc3-f1b7d5fc22f1?source=collection_home---4------2---------------------
🔗 Bayesian Modeling of Pro Overwatch Matches with PyMC3
Professional eSports are becoming increasingly popular, and the industry is growing rapidly. Many of these professional game leagues are…
Towards Data Science
Bayesian Modeling of Pro Overwatch Matches with PyMC3
Professional eSports are becoming increasingly popular, and the industry is growing rapidly. Many of these professional game leagues are…
Finding similar images using Deep learning and Locality Sensitive Hashing
https://towardsdatascience.com/finding-similar-images-using-deep-learning-and-locality-sensitive-hashing-9528afee02f5?source=collection_home---4------1---------------------
🔗 Finding similar images using Deep learning and Locality Sensitive Hashing
A simple walkthrough on finding similar images through image embedding by a ResNet 34 using FastAI & Pytorch. Also doing fast semantic…
https://towardsdatascience.com/finding-similar-images-using-deep-learning-and-locality-sensitive-hashing-9528afee02f5?source=collection_home---4------1---------------------
🔗 Finding similar images using Deep learning and Locality Sensitive Hashing
A simple walkthrough on finding similar images through image embedding by a ResNet 34 using FastAI & Pytorch. Also doing fast semantic…
Towards Data Science
Finding similar images using Deep learning and Locality Sensitive Hashing
A simple walkthrough on finding similar images through image embedding by a ResNet 34 using FastAI & Pytorch. Also doing fast semantic…
Financial Machine Learning Part 1: Labels
https://towardsdatascience.com/financial-machine-learning-part-1-labels-7eeed050f32e?source=collection_home---4------0---------------------
🔗 Financial Machine Learning Part 1: Labels
Setting up a supervised learning problem
https://towardsdatascience.com/financial-machine-learning-part-1-labels-7eeed050f32e?source=collection_home---4------0---------------------
🔗 Financial Machine Learning Part 1: Labels
Setting up a supervised learning problem
Towards Data Science
Financial Machine Learning Part 1: Labels
Setting up a supervised learning problem
DeepLearning.AI Convolutional Neural Networks Deep Learning Specialization Course (Review)
https://machinelearningmastery.com/deeplearning-ai-convolutional-neural-networks-deep-learning-specialization-review/
https://machinelearningmastery.com/deeplearning-ai-convolutional-neural-networks-deep-learning-specialization-review/
Machine Learning Mastery
DeepLearning.AI Convolutional Neural Networks Course (Review) - Machine Learning Mastery
Andrew Ng is famous for his Stanford machine learning course provided on Coursera.
In 2017, he released a five-part course on deep learning also on Coursera titled
In 2017, he released a five-part course on deep learning also on Coursera titled
Speeding Up and Perfecting Your Work Using Parallel Computing
🔗 Speeding Up and Perfecting Your Work Using Parallel Computing
A detailed guide of Python multiprocessing vs. PySpark mapPartition
🔗 Speeding Up and Perfecting Your Work Using Parallel Computing
A detailed guide of Python multiprocessing vs. PySpark mapPartition
Towards Data Science
Speeding Up and Perfecting Your Work Using Parallel Computing
A detailed guide of Python multiprocessing vs. PySpark mapPartition
Understanding the Mathematics behind Gradient Descent.
https://towardsdatascience.com/understanding-the-mathematics-behind-gradient-descent-dde5dc9be06e?source=collection_home---4------0---------------------
🔗 Understanding the Mathematics behind Gradient Descent.
A simple mathematical intuition behind one of the commonly used optimisation algorithms in Machine Learning.
https://towardsdatascience.com/understanding-the-mathematics-behind-gradient-descent-dde5dc9be06e?source=collection_home---4------0---------------------
🔗 Understanding the Mathematics behind Gradient Descent.
A simple mathematical intuition behind one of the commonly used optimisation algorithms in Machine Learning.
Towards Data Science
Understanding the Mathematics behind Gradient Descent.
A simple mathematical intuition behind one of the commonly used optimisation algorithms in Machine Learning.
🎥 Getting Started with TensorFlow and Deep Learning | SciPy 2018 Tutorial | Josh Gordon
👁 1 раз ⏳ 9679 сек.
👁 1 раз ⏳ 9679 сек.
A friendly introduction to Deep Learning, taught at the beginner level. We’ll work through introductory exercises across several domains - including computer vision, natural language processing, and structured data classification. We’ll introduce TensorFlow - the world’s most popular open source machine learning library - preview the latest APIs (including Eager Execution), discuss best practices, and point you to recommended educational resources you can use to learn more.
Tutorial instructions may be fouVk
Getting Started with TensorFlow and Deep Learning | SciPy 2018 Tutorial | Josh Gordon
A friendly introduction to Deep Learning, taught at the beginner level. We’ll work through introductory exercises across several domains - including computer vision, natural language processing, and structured data classification. We’ll introduce TensorFlow…
🎥 Машинное обучение 4. SVM, PCA.
👁 1 раз ⏳ 3812 сек.
👁 1 раз ⏳ 3812 сек.
Лекция от 5 февраля 2019.
Лектор: Владислав Гончаренко
Снимал: Михаил Кревский
Монтировал: Александр ГришутинVk
Машинное обучение 4. SVM, PCA.
Лекция от 5 февраля 2019.
Лектор: Владислав Гончаренко
Снимал: Михаил Кревский
Монтировал: Александр Гришутин
Лектор: Владислав Гончаренко
Снимал: Михаил Кревский
Монтировал: Александр Гришутин
Beyond Chernoff faces: Multivariate visualization with metaphoric 3D glyphs
🔗 Beyond Chernoff faces: Multivariate visualization with metaphoric 3D glyphs
Visualizing multivariate data is notoriously difficult. The methods which are commonly used can be very valuable, but have significant…
🔗 Beyond Chernoff faces: Multivariate visualization with metaphoric 3D glyphs
Visualizing multivariate data is notoriously difficult. The methods which are commonly used can be very valuable, but have significant…
Medium
Beyond Chernoff faces: Multivariate visualization with metaphoric 3D glyphs
Visualizing multivariate data is notoriously difficult. The methods which are commonly used can be very valuable, but have significant…