"One Model to Rule Them All" Christoph Molnar.
Some experienced toughts how to work effectively with your Machine Learning model(project)
Some experienced toughts how to work effectively with your Machine Learning model(project)
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I highly recommend the Cornell University's "Machine Learning for Intelligent Systems (CS4780/ CS5780)" course taught by Associate Professor Kilian Q. Weinberger.
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Youtube Video Lectures: π
https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS
Course Lecture Notes: π
http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/
https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS
Course Lecture Notes: π
http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/
YouTube
CORNELL CS4780 "Machine Learning for Intelligent Systems"
Cornell class CS4780. Written lecture notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/index.html Official class webpage: http://www.cs.cornel...
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SafeML ICLR 2019 Workshop accepted papers list. Read and explore new horizons of Machine Learning
Great Tensorflow tutorial Series from Hvass Laboratories, which one of the most dominating Deep Learning Framework with practical examples
Google IO 2019 keynote.
Learn about the latest product and platform innovations at Google in a Keynote Several improvements are introduced this year in AI + Software + Hardware integration. π
Learn about the latest product and platform innovations at Google in a Keynote Several improvements are introduced this year in AI + Software + Hardware integration. π
Thrilled to be teaching a new course on Deep Unsupervised Learning with Peterxichen (ImprovedGAN, InfoGAN, PixelCNN++, VLAE, PixelSNAIL, Flow++), Hojonathanho (Flow++, GAIL), Aravind(Flow++):
* Lectures
* Homeworks
* Lectures
* Homeworks
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Just another advance of #GAN generations. From Face to pix2pix
pytorch-internals.pdf
2.3 MB
Pytorch internals from Edward Z.Yang. PyTorch NYC meetup on May 2019.
Concepts:
* Tensors,
* Storage,
* Strides,
* Layouts,
* Device,
* Dtype,
* Autograd
...
Concepts:
* Tensors,
* Storage,
* Strides,
* Layouts,
* Device,
* Dtype,
* Autograd
...
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Machine learning is the main trend in IT and technologies .The most actual information about big data , machine learning , neural networks on channel : @ai_machinelearning_big_data
Linear Algebra topics you need to understand Deep Learning with practical examples in Tensorflow 2.0.
Supervisely: end-to-end web-platform for Deep Learning and Computer Vision