Why walk when you can flop?
In one example, a simulated robot was supposed to evolve to travel as quickly as possible. But rather than evolve legs, it simply assembled itself into a tall tower, then fell over. Some of these robots even learned to turn their falling motion into a somersault, adding extra distance.
Blog by Janelle Shane: https://lnkd.in/dQnCVa9
Original paper: https://lnkd.in/dt63hJR
#algorithm #artificialintelligence #machinelearning #reinforcementlearning #technology
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@machinelearning_tuts
In one example, a simulated robot was supposed to evolve to travel as quickly as possible. But rather than evolve legs, it simply assembled itself into a tall tower, then fell over. Some of these robots even learned to turn their falling motion into a somersault, adding extra distance.
Blog by Janelle Shane: https://lnkd.in/dQnCVa9
Original paper: https://lnkd.in/dt63hJR
#algorithm #artificialintelligence #machinelearning #reinforcementlearning #technology
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@machinelearning_tuts
πΉHow Algorithms Can Predict Our Intentions Faster Than We Can
Artificial Intelligence (AI) and Natural Language Processing (NLP) can gather data from anywhere online where we leave a mark. This includes our social media posts, our email, and even any small comments we leave on blog posts. Every trace we leave online allows NLP to track and predict our future decisions.
This article highlight how NLP can impact our day-to-day lives with the use of case studies.
ββββββββββββββββββ
https://www.entrepreneur.com/article/328776
πVia: @cedeeplearning
#NLP
#AI
#machinelearning
#deeplearning
#algorithm
Artificial Intelligence (AI) and Natural Language Processing (NLP) can gather data from anywhere online where we leave a mark. This includes our social media posts, our email, and even any small comments we leave on blog posts. Every trace we leave online allows NLP to track and predict our future decisions.
This article highlight how NLP can impact our day-to-day lives with the use of case studies.
ββββββββββββββββββ
https://www.entrepreneur.com/article/328776
πVia: @cedeeplearning
#NLP
#AI
#machinelearning
#deeplearning
#algorithm
Entrepreneur
How Algorithms Can Predict Our Intentions Faster Than We Can
Every trace we leave online allows NLP to track and predict our future decisions.
πΉAlgorithms, Libraries, Toolkits and Platformsβ¦
There are a multitude of technologies and frameworks on the market today that enable data scientists and machine learning engineers to build, deploy and maintain machine learning systems, pipelines and workflows. Just like any economic matter, supply and demand drives the improvement and progress of the product. As the use of machine learning in business increases, so does the number of frameworks and software that facilitate full-fledged machine learning workflows.
ββββββββββββ
πVia: @cedeeplearning
πSocial media: https://linktr.ee/cedeeplearning
link: https://www.rocketsource.co/blog/machine-learning-models/
#machinelearning
#algorithm
#library
#platform
#technology
There are a multitude of technologies and frameworks on the market today that enable data scientists and machine learning engineers to build, deploy and maintain machine learning systems, pipelines and workflows. Just like any economic matter, supply and demand drives the improvement and progress of the product. As the use of machine learning in business increases, so does the number of frameworks and software that facilitate full-fledged machine learning workflows.
ββββββββββββ
πVia: @cedeeplearning
πSocial media: https://linktr.ee/cedeeplearning
link: https://www.rocketsource.co/blog/machine-learning-models/
#machinelearning
#algorithm
#library
#platform
#technology
βοΈ A foolproof way to shrink deep learning models
βResearchers unveil a pruning algorithm to make artificial intelligence applications run faster.
πBy Kim Martineau
As more artificial intelligence applications move to smartphones, deep learning models are getting smaller to allow apps to run faster and save battery power. Now, MIT researchers have a new and better way to compress models.
ββββββββ
πVia: @cedeeplearning
http://news.mit.edu/2020/foolproof-way-shrink-deep-learning-models-0430
#deeplearning #AI #model
#MIT #machinelearning
#datascience #neuralnetworks
#algorithm #research
βResearchers unveil a pruning algorithm to make artificial intelligence applications run faster.
πBy Kim Martineau
As more artificial intelligence applications move to smartphones, deep learning models are getting smaller to allow apps to run faster and save battery power. Now, MIT researchers have a new and better way to compress models.
ββββββββ
πVia: @cedeeplearning
http://news.mit.edu/2020/foolproof-way-shrink-deep-learning-models-0430
#deeplearning #AI #model
#MIT #machinelearning
#datascience #neuralnetworks
#algorithm #research
MIT News
A foolproof way to shrink deep learning models
MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results than state-of-the-art methods. It works by retraining the smaller, pruned model at its faster, initial learning rate.