Neural Networks and Deep Learning VS Colornet

Neural Networks and Deep Learning mentions (44)

• How do I begin building AI tools for myself?

  For neural network theory, I'm very fond of http://neuralnetworksanddeeplearning.com, but you'll need calculus and some linear algebra to understand it. Source: 5 months ago

• What would be a project oriented roadmap to learn ML, deep learning (assuming I know Python and the required math - calculus, linear algebra and stats)?

  Alternatively, building them from scratch in numpy is definitely possible and an excellent way to learn the fundamentals. It will take some time though (debugging issues with a hand-rolled LSTM is very, very painful). There's a zillion tutorials/books out there (I think I started with http://neuralnetworksanddeeplearning.com). Source: 5 months ago

• Ask HN: In 2023 which is the best path to learn machine and deep learning?

  - http://neuralnetworksanddeeplearning.com/ The Watch the Caltech telecourse. - Source: Hacker News / 8 months ago

• Ask HN: What books or courses do you know similar to "From Nand to Tetris"?

  Neural Networks and Deep Learning, a free online book. http://neuralnetworksanddeeplearning.com/. - Source: Hacker News / 9 months ago

• Why Do ML on the Erlang VM?

  Many years ago I was studying deep learning using this resource: * http://neuralnetworksanddeeplearning.com/ I decided to try to implement everything from scratch in Elixir (after initially doing all the math with pen and paper on a trivial example to get the feel of it). Obviously pure elixir was extremely slow, so I started creating NIFs to pass over matrix multiplication to OpenBLAS. Then I was thinking more... - Source: Hacker News / 11 months ago

Colornet mentions (0)