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Artificial Intelligence && Deep Learning

Artificial Intelligence && Deep Learning

@deeplearning_ai

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* Artificial Intelligence
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* Deep Learning
* Data Science
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* Research Papers

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Post #798 13K
OpenCV Vehicle Detection, Tracking, and Speed Estimation👍👍😳😳
@DeepLearning_AI
Post #797 12.7K
OpenCV Vehicle Detection, Tracking, and Speed Estimation ==> (with source code)

In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams

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@DeepLearning_AI

https://www.pyimagesearch.com/2019/12/02/opencv-vehicle-detection-tracking-and-speed-estimation/
PyImageSearch OpenCV Vehicle Detection, Tracking, and Speed Estimation - PyImageSearch Learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation to detect the MPH/KPH of the moving vehicle.
Post #790 12.2K
Deep Transfer Learning for Natural Language Processing — Text Classification with Universal Embeddings.

CONTENTS:
- Baseline Averaged Sentence Embeddings
- Doc2Vec
- Neural-Net Language Models (Hands-on Demo!)
- Skip-Thought Vectors
- Quick-Thought Vectors
- InferSent
- Universal Sentence Encoder

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@DeepLearning_AI

https://towardsdatascience.com/deep-transfer-learning-for-natural-language-processing-text-classification-with-universal-1a2c69e5baa9
Medium Deep Transfer Learning for Natural Language Processing — Text Classification with Universal Embeddings A Guide to Demystifying Universal Sentence Encoders
Post #784 10.6K
Detecting Natural Disasters with Keras and Deep Learning (with source code)
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@DeepLearning_AI

.https://www.pyimagesearch.com/2019/11/11/detecting-natural-disasters-with-keras-and-deep-learning/
PyImageSearch Detecting Natural Disasters with Keras and Deep Learning - PyImageSearch In this tutorial, you will learn how to automatically detect natural disasters (earthquakes, floods, wildfires, cyclones/hurricanes) with up to 95% accuracy using Keras, Computer Vision, and Deep Learning.
Post #783 13.9K
Real time Shape Detection using Contours [9] | OpenCV Python Tutorials for Beginners 2019

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https://youtu.be/Fchzk1lDt7Q

useful Links:

OpenCV Python Tutorial Playlist:
https://www.youtube.com/watch?v=CJXIj...

How to install Opencv in Python:
https://youtu.be/CJXIjApHYVs


Real time color Detection:
https://youtu.be/Tj4zEX_pdUg

5 Must Know OpencCV Functions:
https://youtu.be/7kHhz7nkpBw
YouTube Real time Shape Detection using Contours [9] | OpenCV Python Tutorials for Beginners 2020 In this video, we will learn how to detect the shapes of objects by finding their contours. Contours are basically outlines that bound the shape or form of an object. So we will be detecting multiple shapes and how many corners points each shape has along…
Post #780 15.7K
List of Top Blogs on Artificial Intelligence

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@DeepLearning_AI


1. Machine Learning Mastery by Jason Brownlee
https://machinelearningmastery.com/about/

2.Adrian Rosebrock
https://www.pyimagesearch.com/

3. AI Trends
https://www.aitrends.com/

4. Algorithmia
https://blog.algorithmia.com/

5. AITopics (An official publication of the AAAI.)
https://aitopics.org/search

6. Open AI
https://openai.com/

7. MIT AI Blog
http://news.mit.edu/topic/artificial-intelligence2

8. Andreessen Horowitz
http://aiplaybook.a16z.com/docs/intro/getting-started

9. C T Vision
https://ctovision.com/

10. Chatbots Magazine (The #1 place to learn about chatbots.)
https://chatbotsmagazine.com/

11. Machine Intelligence Research Institute (MIRI) 
https://intelligence.org/blog/

12. Chatbots Life
(Best Place to Learn About Bots)
https://chatbotslife.com/

13. 33 rd square
https://www.33rdsquare.com/

14. Artificial Intelligence Blogs
https://www.artificial-intelligence.blog/news/

15. Machine Learnings
https://machinelearnings.co/
  • 👍 2
Post #779 11.6K
The 5 Algorithms for Efficient Deep Learning Inference on Small Devices

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@DeepLearning_AI

.https://heartbeat.fritz.ai/the-5-algorithms-for-efficient-deep-learning-inference-on-small-devices-bcc2d18aa806
Fritz ai The 5 Algorithms for Efficient Deep Learning Inference on Small Devices - Fritz ai With recent developments in deep learning, neural networks are getting larger and larger. For example, in the ImageNet recognition challenge, the winning model, from 2012 to 2015, increased in size by 16 times. And in just one year, for Baidu’s… Continue…
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