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Neural Networks and Deep Learning VS A.I. Experiments by Google

Compare Neural Networks and Deep Learning VS A.I. Experiments by Google and see what are their differences

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Neural Networks and Deep Learning logo Neural Networks and Deep Learning

Core concepts behind neural networks and deep learning

A.I. Experiments by Google logo A.I. Experiments by Google

Explore machine learning by playing w/ pics, music, and more
  • Neural Networks and Deep Learning Landing page
    Landing page //
    2021-07-27
  • A.I. Experiments by Google Landing page
    Landing page //
    2023-09-22

Category Popularity

0-100% (relative to Neural Networks and Deep Learning and A.I. Experiments by Google)

Neural Networks and Deep Learning

A.I. Experiments by Google

AI
33 33%
AI
67% 67
Developer Tools
25 25%
Developer Tools
75% 75
Games
100 100%
Games
0% 0
JavaScript Tools
0 0%
JavaScript Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, Neural Networks and Deep Learning should be more popular than A.I. Experiments by Google. It has been mentiond 44 times since March 2021. 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.

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 / 10 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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A.I. Experiments by Google mentions (5)

  • I asked an A.I. language model to write a conversation between two stoners after smoking DMT
    Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
  • Google Says AI Generated Content Is Against Guidelines
    But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
  • [D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?
    Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
  • "RTX ON" ruined public perception of the biggest gaming advancement in a decade
    It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
  • [D] Researching with no affiliations to any Universities/Academic organizations?
    To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: almost 3 years ago

What are some alternatives?

When comparing Neural Networks and Deep Learning and A.I. Experiments by Google, you can also consider the following products

Colornet - Neural Network to colorize grayscale images

Facebook.ai - Everything you need to take AI from research to production

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

Lobe - Visual tool for building custom deep learning models

AETROS - Create, train and monitor deep neural networks

aijs.rocks - A collection of AI-powered JavaScript apps

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