Neural Networks | Нейронные сети
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PyTorch Machine Learning Tutorial - Machine Learning with Python and PyTorch

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data

https://www.youtube.com/watch?v=TB-G1KqRb5o

🎥 PyTorch Machine Learning Tutorial - Machine Learning with Python and PyTorch
👁 1 раз 3292 сек.
Master Deep Learning and Computer Vision with PyTorch - Full Course on sale for $10! (normally $200):https://www.udemy.com/pytorch-for-deep-learning-and-computer-vision/learn/v4/?couponCode=RAYPYTORCHYOUTUBE09

PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landscape in the field of deep learning due to its flexibility, and how easy it is to use when building Deep Learning models.

Rayan Slim's channe
​Data Science Digest
https://habr.com/ru/post/442212/

🔗 Data Science Digest
Хабр, привет! Очень давно я вел на Хабре дайджест посвященный AI и BigData. Сейчас хочу восстановить его и раз в месяц делать подборку интересных материалов...
🎥 PyConBy: Alejandro Saucedo, A practical guide towards explainability and bias evaluation in ML
👁 1 раз 2324 сек.
PyCon Belarus 2019, Minsk
Data Science Track

A practical guide towards explainability and bias evaluation in machine learning - Alejandro Saucedo
In this talk we will demystify the concept of "bias in machine learning" through a hands-on example. We will be tasked to automate an end-to-end loan approval process by training a deep learning tensorflow model on sample data. We will then dissect the model and dataset showcasing hidden common risks, and we will provide important insight on the key tools and te
​The Python Dreamteam
As a Data Scientist, I code almost entirely in Python. Using the pipenv/pyenv combo for Python makes my life slightly less terrifying.

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data

https://towardsdatascience.com/the-python-dreamteam-27f6f9f08c34?source=collection_home---4------4---------------------

🔗 The Python Dreamteam – Towards Data Science
As a Data Scientist, I code almost entirely in Python. Using the pipenv/pyenv combo for Python makes my life slightly less terrifying.
​Set Your Jupyter Notebook up Right with this Extension
A handy Jupyter Notebook extension to help you create more effective notebooks

🔗 Set Your Jupyter Notebook up Right with this Extension
A handy Jupyter Notebook extension to help you create more effective notebooks
Get started with using TensorFlow to solve for regression problems (Coding TensorFlow)

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data

🎥 Get started with using TensorFlow to solve for regression problems (Coding TensorFlow)
👁 1 раз 699 сек.
You often have to solve for regression problems when training your machine learning models. In this episode of Coding TensorFlow, Developer Advocate Robert Crowe discusses how to build and train a model, where you are looking for the model to solve for a single result. Learn how to get started on regression problems, and watch to see an example involving miles-per-gallon. This requires our model to examine and learn from the data we provide, in order to predict our final number. Subscribe to the TensorFlow
Требуется: обучить сетку на голос - Левитана Юрия (голос "Говорит Москва....") https://teatr.audio/levitan-yuriy-govorit-moskva (биг дата голоса большая) и прикрутить синтезатор голоса. В теории ничего сложного https://habr.com/ru/company/speechpro/

Т.З.: Скармливаем на входе текст, на выходе получаем аудиозапись с его голосом.

Оплата: 200-300$
​Using Machine Learning to find Linux bugs

🔗 Using Machine Learning to find Linux bugs
Presentation name: Using Machine Learning to find Linux bugs Speaker: Stef Walter Description: I’d like to show you how to find bugs in Linux systems using m...
Загрузка данных в Colab | Глубокие нейронные сети на Python

https://www.youtube.com/watch?v=Ve5oW1qqbZg

🎥 Загрузка данных в Colab | Глубокие нейронные сети на Python
👁 1 раз 669 сек.
Как можно загрузить данные на виртуальную машину в облачной платформе Google Colaboratory. Курс "Программирование глубоких нейронных сетей на Python" - https://www.asozykin.ru/courses/nnpython

Рассматриваются три способа загрузки данных на виртуальную машину в Colab:
1. Напрямую из интернет с помощью команды wget.
2. С локального компьютера.
3. Через Google Drive.

Ссылка на ноутбук в Colab с полной версией кода из демонстрации - https://colab.research.google.com/drive/1e3bbNmpQ1Wremp4O5NiNOgqTV-_WG5wL

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