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Computer Science and Programming

Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 140 416 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 811-o'rinni va Italiya mintaqasida 88-o'rinni egallagan.

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...

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Postlar arxiv
If you want to start Deep Learning, but you are thinking about how to start then this article will help you. Here is listed completely free and open-sourced courses in your hand

original source: "World economic forum"

"Talk to books" is a search tool that lets you find the most relevant passages from any book. Tool from Google's AI (100,000 scanned books with 600 million sentences) https://books.google.com/talktobooks/

"Hide and Seek" or "Catch Me if You Can!" game from OpenAI. Only this time the computer is playing it
"Hide and Seek" or "Catch Me if You Can!" game from OpenAI. Only this time the computer is playing it

Learn what parts of the image does a deep learning model pay attention to. AttentioNN to describe attention in neural network
Learn what parts of the image does a deep learning model pay attention to. AttentioNN to describe attention in neural networks.

The Power and Limitations of Deep Learning with Yann LeCun
The Power and Limitations of Deep Learning with Yann LeCun

All list of accepted REINFORECEMENT LEARNING papers to NeurIPS 2019

How Stuff Works: A Comprehensive Topic Modelling Guide with NMF, LSA, PLSA, LDA & lda2vec (Part-1). Medium article from Sourav Bose

This link is not valid curently. Alternatively, we can use this link: http://openaccess.thecvf.com/CVPR2019.py

A practical approach to learning machine learning GitHub : https://github.com/GokuMohandas/practicalAI - 📚 Notebooks on topics from basic Python to advanced deep learning techniques #PyTorch - 🖥 Run everything using #Colab : https://colab.research.google.com/…/GokuMohand…/practicalAI/

Paper link: https://arxiv.org/pdf/1905.05172.pdf Official Page: https://shunsukesaito.github.io/PIFu/ Code status: coming soon

From ICCV 19: PIFu, an end-to-end deep learning method that can reconstruct a 3D model of a person wearing clothes from a single image.

Let's have a little fun. World of Machine Learning, Deep Learning, Python with frameworks