⭕️ How YOLOv5 solved an ambiguity encountered by YOLOv3

To the ones who not might be knowing, a new version of YOLO (You Only Look Once) is here, namely YOLO v5. Many thanks to Ultralytics for putting this repository together.

link: https://towardsdatascience.com/indian-car-license-plate-detection-using-yolo-v5-ae2574578175#4a06-971d24018f84
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📌Via: @cedeeplearning

#deeplearning #YOLO #neuralnetworks #selfdriving #machinelearning

⭕️ AR-Net: A simple autoregressive NN for Time Series


🔹 blog: https://ai.facebook.com/blog/ar-net-a-simple-autoregressive-neural-network-for-time-series/

📕 paper: https://arxiv.org/abs/1911.03118
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📌Via: @cedeeplearning

#timeseries #neuralnetworks #machinelearning #deeplearning

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 26 Activation Functions

Neural Networks and Deep Learning
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #math #activation_function #machinelearning #neuralnetworks

⭕️ How You Should Read Research Papers According To Andrew Ng (Stanford Deep Learning Lectures)

Instructions on how to approach knowledge acquisition through published research papers by a recognized figure within the world of machine learning and education

🖊 by Richmond Alake

link: https://towardsdatascience.com/how-you-should-read-research-papers-according-to-andrew-ng-stanford-deep-learning-lectures-98ecbd3ccfb3
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📌Via: @cedeeplearning

#paper #research #stanford #deeplearning #andrew_ng
#neuralnetworks #math #machinelearning

⭕️ Neural Manifold Ordinary Differential Equations

📕 Article: https://arxiv.org/abs/2006.10254

🔹 Github: https://github.com/CUVL/Neural-Manifold-Ordinary-Differential-Equations
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📌Via: @cedeeplearning

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 27 Why Non-linear Activation Functions

Neural Networks and Deep Learning
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #math #activation_function #machinelearning #neuralnetworks

📕 Building Machine Learning Powered Applications

Going from Idea to Product Emmanuel Ameisen

📌@cedeeplearning

#book #ML #deeplearning #free #machinelearning

⭕️ DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI

https://youtu.be/7R52wiUgxZI

📌via: @cedeeplearning

#deepmind #ucl #deeplearning #lecture #AI #machinelearning