Forwarded from Artificial Intelligence && Deep Learning (SHOHRUH)
MIT 6.S191 Introduction to Deep Learning 2021
Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!
Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!
Graph Neural Networks (GNN, GAE, STGNN)
https://jonathan-hui.medium.com/graph-neural-networks-gnn-gae-stgnn-1ac0b5c99550
https://t.me/MachineLearning_Programming
https://jonathan-hui.medium.com/graph-neural-networks-gnn-gae-stgnn-1ac0b5c99550
https://t.me/MachineLearning_Programming
Medium
Graph Neural Networks (GNN, GAE, STGNN)
In general, Graph Neural Networks (GNN) refer to the general concept of applying neural networks (NNs) on graphs. In a previous article, weโฆ
ERFNet: Efficient Residual Factorized ConvNet for
Real-time Semantic Segmentation [Cited by 452]
paper:
http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf
github [PyTorch]:
https://github.com/Eromera/erfnet_pytorch
Real-time Semantic Segmentation [Cited by 452]
paper:
http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf
github [PyTorch]:
https://github.com/Eromera/erfnet_pytorch
Find and remove duplicate images in your dataset
Improve your deep learning image datasets by automatically detecting duplicate and near-duplicate images and removing them
https://towardsdatascience.com/find-and-remove-duplicate-images-in-your-dataset-3e3ec818b978
https://t.me/MachineLearning_Programming
Improve your deep learning image datasets by automatically detecting duplicate and near-duplicate images and removing them
https://towardsdatascience.com/find-and-remove-duplicate-images-in-your-dataset-3e3ec818b978
https://t.me/MachineLearning_Programming
Medium
Find and remove duplicate images in your dataset
Improve your deep learning image datasets by automatically detecting duplicate and near-duplicate images and removing them
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3 Tools to Track and Visualize the Execution of your Python Code
https://towardsdatascience.com/3-tools-to-track-and-visualize-the-execution-of-your-python-code-666a153e435e
๐https://t.me/MachineLearning_Programming
https://towardsdatascience.com/3-tools-to-track-and-visualize-the-execution-of-your-python-code-666a153e435e
๐https://t.me/MachineLearning_Programming
500 + ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐๐ถ๐๐ ๐๐ถ๐๐ต ๐ฐ๐ผ๐ฑ๐ฒ
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
๐https://t.me/MachineLearning_Programming
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
๐https://t.me/MachineLearning_Programming
GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deepโฆ
500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
Github:
https://github.com/OlafenwaMoses/DeepStack_ExDark
Documentation:
https://docs.deepstack.cc/index.html#installation
Custom dataset preparation:
https://docs.deepstack.cc/custom-models/datasetprep/index.html
Training custom model:
https://docs.deepstack.cc/custom-models/training/index.html
https://github.com/OlafenwaMoses/DeepStack_ExDark
Documentation:
https://docs.deepstack.cc/index.html#installation
Custom dataset preparation:
https://docs.deepstack.cc/custom-models/datasetprep/index.html
Training custom model:
https://docs.deepstack.cc/custom-models/training/index.html
GitHub
GitHub - OlafenwaMoses/DeepStack_ExDark: A DeepStack custom model for detecting common objects in dark/night images and videos.
A DeepStack custom model for detecting common objects in dark/night images and videos. - OlafenwaMoses/DeepStack_ExDark
Forwarded from Artificial Intelligence && Deep Learning (MUHAMMADYAHYO)
Millions of learners have used Class Central to find their next course.
https://www.classcentral.com/
Join us and stay up to date with the latest news, research papers with spurce codes, books related to AI/ML/DL
https://www.classcentral.com/
Join us and stay up to date with the latest news, research papers with spurce codes, books related to AI/ML/DL
A curated list of awesome Python frameworks, libraries, software and resources.
github:
https://github.com/vinta/awesome-python
https://t.me/MachineLearning_Programming
github:
https://github.com/vinta/awesome-python
https://t.me/MachineLearning_Programming
GitHub
GitHub - vinta/awesome-python: An opinionated list of awesome Python frameworks, libraries, software and resources.
An opinionated list of awesome Python frameworks, libraries, software and resources. - vinta/awesome-python
Forwarded from Artificial Intelligence && Deep Learning (MUHAMMADYAHYO)
Course Catalog Download All Udemy Paid Courses And Tutorials FREE - Course Catalog
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Coursecatalog
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t.me/deeplearning_ai
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Why Course Catalog?
- Course Catalog - Upload New Tutorials And Courses On CourseCatalog.us Every Day. So If You Want To Download More Free Courses And Free Tutorials Then Visit them, Again And Again, to get paid courses for free.
Free Tutorials:
- The Course Catalog is the largest and most famous website in the world, providing free tutorials on all areas of computer science.
Coursecatalog
- From Coursecatalog You can find solutions for your IT problems. You can easily find thousands of video tutorials provided by experts here. The coursecatalog contains many free tutorials.
t.me/deeplearning_ai
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Forwarded from Artificial Intelligence && Deep Learning (MUHAMMADYAHYO)
Text-to-Speech Synthesis: an Overview | by Sciforce | Sciforce | Medium
https://medium.com/sciforce/text-to-speech-synthesis-an-overview-641c18fcd35f
https://medium.com/sciforce/text-to-speech-synthesis-an-overview-641c18fcd35f
Medium
Text-to-Speech Synthesis: an Overview
We discuss what TTS is, how its quality is measured. We compare different approaches to TTS: concatenative & parametric TTS, Deepโฆ
๐กAI Workshop: Bring Your Use Case Ideas to Life ๐ก
๐In this online workshop, we present how you can use AI services and start prototyping in minutes.
๐We cover some of the most popular AI verticals such as Computer Vision and Natural Language Processing.
After this workshop, you will know:
1. What is AI as a Service, and how does it work?
2. What are Computer Vision, NLP, and Speech?
3. How can you prototype your AI products before actual implementation?
Requirements:
โ Free Registration
โ Basic Python knowledge
๐16 July, 17:00 - 18:00 CET๐
https://www.linkedin.com/events/6814928657631473664/
๐In this online workshop, we present how you can use AI services and start prototyping in minutes.
๐We cover some of the most popular AI verticals such as Computer Vision and Natural Language Processing.
After this workshop, you will know:
1. What is AI as a Service, and how does it work?
2. What are Computer Vision, NLP, and Speech?
3. How can you prototype your AI products before actual implementation?
Requirements:
โ Free Registration
โ Basic Python knowledge
๐16 July, 17:00 - 18:00 CET๐
https://www.linkedin.com/events/6814928657631473664/
Removing Duplicate or Similar Images in Python
https://towardsdatascience.com/removing-duplicate-or-similar-images-in-python-93d447c1c3eb
https://t.me/MachineLearning_Programming
https://towardsdatascience.com/removing-duplicate-or-similar-images-in-python-93d447c1c3eb
https://t.me/MachineLearning_Programming
Medium
Removing Duplicate or Similar Images in Python
When training a machine learning model that uses images as input, it is relevant to check for similar or duplicated pictures in theโฆ
Forwarded from Artificial Intelligence && Deep Learning (MUHAMMADYAHYO)
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Woww! This is really awesome!! A new course to learn the fundamentals of Deep Learning with PyTorch by Microsoft ๐ฅ๐ฅ.
https://t.me/DeepLearning_ai
https://t.me/DeepLearning_ai