Top Artificial Intelligence Algorithms You Must To Practice
Practical Summary about Hypothesis testing in Machine learning using Python
Mix of object-oriented programming can sharpen your deep learning prototype
Deep Learning, Spring 2019. Slides (the full deck of 600+), by Gilles Louppe:
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PDF version of slides available at:
https://glouppe.github.io/info8010-deep-learning/pdf/lec-all.pdf?fbclid=IwAR2spbc2tVMKOq7MalGj_h80CSzYGQA5Nms_P336WRC_vAO6z6i7JsZTR1k
https://glouppe.github.io/info8010-deep-learning/pdf/lec-all.pdf?fbclid=IwAR2spbc2tVMKOq7MalGj_h80CSzYGQA5Nms_P336WRC_vAO6z6i7JsZTR1k
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Amazing!! Deep Learning-based NLP techniques are going to revolutionize the way we write software. Here's Deep TabNine, a GPT-2 model trained on around 2 million files from GitHub. It becomes you lazy, as well as, helps you write code faster
The platform for Machine Learning methods dependencies 3D visualization
THE PROJECT IS AVAILABLE ONLINE:
HTTPS://WWW.INFORNOPOLITAN.XYZ/BACKRONYM
FOR MORE INFORMATION (medium):
HTTPS://MEDIUM.COM/@ASADULAEVARIP/HOW-TO-GENERATE-IDEAS-IN-MACHINE-LEARNING-BDB9A7267392
THE PROJECT IS AVAILABLE ONLINE:
HTTPS://WWW.INFORNOPOLITAN.XYZ/BACKRONYM
FOR MORE INFORMATION (medium):
HTTPS://MEDIUM.COM/@ASADULAEVARIP/HOW-TO-GENERATE-IDEAS-IN-MACHINE-LEARNING-BDB9A7267392
This media is not supported in your browser
VIEW IN TELEGRAM
Platform for Machine Learning methods dependencies 3D visualization
A Deep Dive into NLP with PyTorch.
how to implement more advanced architectures and apply it to real world datasets.
how to implement more advanced architectures and apply it to real world datasets.
NeurIPS | 2019
Thirty-third Conference on Neural Information Processing Systems - Accepted Competitions
Thirty-third Conference on Neural Information Processing Systems - Accepted Competitions
MIT Release New AI Programming Language Called ‘GEN’. New AI programming language goes beyond deep learning. General-purpose language works for computer vision, robotics, statistics, and more.
More information available at MIT website:
http://news.mit.edu/2019/ai-programming-gen-0626
Source code available at:
https://probcomp.github.io/Gen/
http://news.mit.edu/2019/ai-programming-gen-0626
Source code available at:
https://probcomp.github.io/Gen/
MIT News
New AI programming language goes beyond deep learning
MIT researchers’ probabilistic programming system, Gen, is making it easier for novices to get their feet wet with artificial intelligence, while also helping experts advance the field.
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