Cutting Edge Deep Learning
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πŸ“• Deep learning
πŸ“— Reinforcement learning
πŸ“˜ Machine learning
πŸ“™ Papers - tools - tutorials

πŸ”— Other Social Media Handles:
https://linktr.ee/cedeeplearning
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⭕️ AR-Net: A simple autoregressive NN for Time Series


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

πŸ“• paper: https://arxiv.org/abs/1911.03118
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πŸ“ŒVia: @cedeeplearning

#timeseries #neuralnetworks #machinelearning #deeplearning
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βšͺ️ Basics of Neural Network Programming

βœ’οΈ by prof. Andrew Ng
πŸ”ΉSource: Coursera

πŸ”– Lecture 26 Activation Functions

Neural Networks and Deep Learning
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πŸ“ŒVia: @cedeeplearning
πŸ“ŒOther 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

πŸ–Š 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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πŸ“ŒVia: @cedeeplearning

#paper #research #stanford #deeplearning #andrew_ng
#neuralnetworks #math #machinelearning
⭕️ Neural Manifold Ordinary Differential Equations

πŸ“• Article
: https://arxiv.org/abs/2006.10254

πŸ”Ή Github: https://github.com/CUVL/Neural-Manifold-Ordinary-Differential-Equations
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πŸ“ŒVia: @cedeeplearning
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βšͺ️ Basics of Neural Network Programming

βœ’οΈ by prof. Andrew Ng
πŸ”ΉSource: Coursera

πŸ”– Lecture 27 Why Non-linear Activation Functions

Neural Networks and Deep Learning
β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”
πŸ“ŒVia: @cedeeplearning
πŸ“ŒOther 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.pdf
9.9 MB
πŸ“• Building Machine Learning Powered Applications

Going from Idea to Product Emmanuel Ameisen

πŸ“Œ@cedeeplearning

#book #ML #deeplearning #free #machinelearning