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AETROS VS Neural Networks and Deep Learning

Compare AETROS VS Neural Networks and Deep Learning and see what are their differences

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AETROS logo AETROS

Create, train and monitor deep neural networks

Neural Networks and Deep Learning logo Neural Networks and Deep Learning

Core concepts behind neural networks and deep learning
  • AETROS Landing page
    Landing page //
    2023-07-18
  • Neural Networks and Deep Learning Landing page
    Landing page //
    2021-07-27

Category Popularity

0-100% (relative to AETROS and Neural Networks and Deep Learning)

AETROS

Neural Networks and Deep Learning

AI
44 44%
AI
56% 56
Developer Tools
44 44%
Developer Tools
56% 56
Games
61 61%
Games
39% 39
Action
68 68%
Action
32% 32

User comments

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Social recommendations and mentions

Based on our record, Neural Networks and Deep Learning seems to be a lot more popular than AETROS. While we know about 44 links to Neural Networks and Deep Learning, we've tracked only 1 mention of AETROS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AETROS mentions (1)

  • Introducing Deepkit ORM, a high performance ORM for TypeScript
    Deepkit ORM is one of a whole collection of high performance libraries written in the last years for my need in developing complex isomorphic TypeScript applications (like for example https://deepkit.ai). Since we approach the beta version I'd like to introduce you to one of its flagship libraries, the ORM, and collect feedback. So, if you are interested, please keep reading and drop me a comment about your thoughts! Source: almost 3 years ago

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
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What are some alternatives?

When comparing AETROS and Neural Networks and Deep Learning, you can also consider the following products

Colornet - Neural Network to colorize grayscale images

Quick Draw Game - Can a neural network learn to recognize doodles?

TensorFlow Lite - Low-latency inference of on-device ML models

DALL-E - Creating images from text, from Open AI

Sonnet - A new library for constructing neural networks from DeepMind

Datature - No-code platform for building deep neural nets

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