Forwarded from Artificial Intelligence && Deep Learning (MUHAMMAD YAHYO)
Top Universities Offering Free Online Programming Courses
Here’s the list of the top universities offering free online programming courses:
Harvard University
Massachusetts Institute of Technology (MIT)
IIT Bombay
University of Illinois
Hong Kong University of Science and Technology
University of Michigan
IIT Kanpur
@deeplearning_ai
Here’s the list of the top universities offering free online programming courses:
Harvard University
Massachusetts Institute of Technology (MIT)
IIT Bombay
University of Illinois
Hong Kong University of Science and Technology
University of Michigan
IIT Kanpur
@deeplearning_ai
Forwarded from Artificial Intelligence && Deep Learning (MUHAMMAD YAHYO)
Top Universities Offering Free Online Programming Courses
https://www.naukri.com/learning/articles/top-universities-offering-free-online-courses-for-programmers/
@deeplearning_ai
.
https://www.naukri.com/learning/articles/top-universities-offering-free-online-courses-for-programmers/
@deeplearning_ai
.
Shiksha
Top Universities Offering Free Online Programming Courses - Shiksha Online
Learn programming online with free online programming courses offered by top universities such as Harvard University, MIT, IIT Bombay, and others for a variety of skill levels.
Lane Detection With OpenCV (Part 1)
1. Intro
2. Thresholding
3. Perspective Correction
4. Warping
https://dzone.com/articles/lane-detection-with-opencv
@MachineLearning_Programming
1. Intro
2. Thresholding
3. Perspective Correction
4. Warping
https://dzone.com/articles/lane-detection-with-opencv
@MachineLearning_Programming
MoveNet : Pose Estimation for Video with Intense Motion
https://medium.com/axinc-ai/movenet-pose-estimation-for-video-with-intense-motion-2b92f53f3c8
@MachineLearning_Programming
https://medium.com/axinc-ai/movenet-pose-estimation-for-video-with-intense-motion-2b92f53f3c8
@MachineLearning_Programming
Medium
MoveNet : Pose Estimation for Video with Intense Motion
This is an introduction to「MoveNet」, a machine learning model that can be used with ailia SDK. You can easily use this model to create AI…
Deploy your PyTorch model to Production
This tutorial aims to teach you how to deploy your recently trained model in PyTorch as an API using Python.
https://www.kdnuggets.com/2019/03/deploy-pytorch-model-production.html
@MachineLearning_Programming
This tutorial aims to teach you how to deploy your recently trained model in PyTorch as an API using Python.
https://www.kdnuggets.com/2019/03/deploy-pytorch-model-production.html
@MachineLearning_Programming
KDnuggets
Deploy your PyTorch model to Production
This tutorial aims to teach you how to deploy your recently trained model in PyTorch as an API using Python.
An important collection of the 15 best machine learning cheat sheets.
مجموعة مهمة الافضل ١٥ ورقة غش في مجال التعلم الآلي.
1- Supervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf
2- Unsupervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf
3- Deep Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf
4- Machine Learning Tips and Tricks
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf
5- Probabilities and Statistics
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf
6- Comprehensive Stanford Master Cheat Sheet
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf
7- Linear Algebra and Calculus
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf
8- Data Science Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
9- Keras Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf
10- Deep Learning with Keras Cheat Sheet
https://github.com/rstudio/cheatsheets/raw/master/keras.pdf
11- Visual Guide to Neural Network Infrastructures
http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png
12- Skicit-Learn Python Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
13- Scikit-learn Cheat Sheet: Choosing the Right Estimator
https://scikit-learn.org/stable/tutorial/machine_learning_map/
14- Tensorflow Cheat Sheet
https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf
15- Machine Learning Test Cheat Sheet
https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/
@deeplearning_ai
مجموعة مهمة الافضل ١٥ ورقة غش في مجال التعلم الآلي.
1- Supervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf
2- Unsupervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf
3- Deep Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf
4- Machine Learning Tips and Tricks
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf
5- Probabilities and Statistics
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf
6- Comprehensive Stanford Master Cheat Sheet
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf
7- Linear Algebra and Calculus
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf
8- Data Science Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
9- Keras Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf
10- Deep Learning with Keras Cheat Sheet
https://github.com/rstudio/cheatsheets/raw/master/keras.pdf
11- Visual Guide to Neural Network Infrastructures
http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png
12- Skicit-Learn Python Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
13- Scikit-learn Cheat Sheet: Choosing the Right Estimator
https://scikit-learn.org/stable/tutorial/machine_learning_map/
14- Tensorflow Cheat Sheet
https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf
15- Machine Learning Test Cheat Sheet
https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/
@deeplearning_ai
GitHub
stanford-cs-229-machine-learning/en/cheatsheet-supervised-learning.pdf at master · afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning - afshinea/stanford-cs-229-machine-learning
Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @Muhammadyahyoo
https://t.me/DeepLearning_ai
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @Muhammadyahyoo
https://t.me/DeepLearning_ai
Telegram
Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
Join the channel of researchers and programmers, the channel includes a huge encyclopedia of programming books and scientific articles in addition to the most famous scientific projects
t.me/datascience_books
t.me/datascience_books
GIRAFFE: A Closer Look at the Code for CVPR 2021’s Best Paper
GIRAFFE is a learning-based, fully differentiable rendering engine for composing scenes as the summation of multiple “feature fields.”
https://towardsdatascience.com/giraffe-a-closer-look-at-cvpr-2021s-best-paper-1ec81f593fa9
https://t.me/MachineLearning_Programming
GIRAFFE is a learning-based, fully differentiable rendering engine for composing scenes as the summation of multiple “feature fields.”
https://towardsdatascience.com/giraffe-a-closer-look-at-cvpr-2021s-best-paper-1ec81f593fa9
https://t.me/MachineLearning_Programming
Medium
GIRAFFE: A Closer Look at CVPR 2021’s Best Paper
GIRAFFE is a learning-based, fully differentiable rendering engine for composing scenes as the summation of multiple “feature fields.”