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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βšͺ️ Basics of Neural Network Programming

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

πŸ”– Lecture 19 Quick Tour of Jupyter iPython Notebooks

Neural Networks and Deep Learning
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πŸ“ŒVia: @cedeeplearning
πŸ“ŒOther social media: https://linktr.ee/cedeeplearning

#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#jupyter #ipython
πŸ”ΉThe 5 Basic Statistics Concepts Data Scientists Need to Know

Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform technical analysis of data. A basic visualisation such as a bar chart might give you some high-level information, but with statistics we get to operate on the data in a much more information-driven and targeted way. The math involved helps us form concrete conclusions about our data rather than just guesstimating.
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πŸ“ŒVia: @cedeeplearning

link: https://towardsdatascience.com/the-5-basic-statistics-concepts-data-scientists-need-to-know-2c96740377ae

#statistics #datascience
#machinelearning
#tutorial #AI #python
#deeplearning
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βšͺ️ Basics of Neural Network Programming

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

πŸ”– Lecture 20 Explanation of Logistic Regression's Cost Function

Neural Networks and Deep Learning
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πŸ“ŒVia: @cedeeplearning
πŸ“ŒOther social media: https://linktr.ee/cedeeplearning

#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #machinelearning #cost_function
πŸ”Ή Reinforcement Learning

Acme: A research framework for reinforcement learning

Github
: https://github.com/deepmind/acme

Paper: https://arxiv.org/abs/2006.00979
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πŸ“ŒVia: @cedeeplearning

#deeplearning #machinelearning
#neuralnetworks #python #math
#statistics #reinforcement #Acme
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βšͺ️ Basics of Neural Network Programming

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

πŸ”– Lecture 21 Neural Network Overview

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 #machinelearning #neuralnetworks
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βšͺ️ Basics of Neural Network Programming

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

πŸ”– Lecture 22 Neural Network Representations

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 #machinelearning #neuralnetworks
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βšͺ️ Basics of Neural Network Programming

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

πŸ”– Lecture 23 Computing Neural Network Output

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 #machinelearning #neuralnetworks