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Neural Networks and Deep Learning VS Floyd

Compare Neural Networks and Deep Learning VS Floyd 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

Floyd logo Floyd

Heroku for deep learning
  • Neural Networks and Deep Learning Landing page
    Landing page //
    2021-07-27
  • Floyd Landing page
    Landing page //
    2023-03-20

Neural Networks and Deep Learning videos

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How to: Floyd Bed and Purple Mattress + Review (Not Sponsored)

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  • Review - Floyd Bed Frame Setup and Review - Is it Supportive Enough?
  • Review - FLOYD (FLAT PACK) REVIEW/UNBOXING | THE SOFA + THE COFFEE TABLE + THE FLOYD BED | APARTMENT BUNDLE

Category Popularity

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

Neural Networks and Deep Learning

Floyd

AI
51 51%
AI
49% 49
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Developer Tools
60 60%
Developer Tools
40% 40
Games
100 100%
Games
0% 0

User comments

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Social recommendations and mentions

Based on our record, Neural Networks and Deep Learning seems to be more popular. 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 / 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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Floyd mentions (0)

We have not tracked any mentions of Floyd yet. Tracking of Floyd recommendations started around Mar 2021.

What are some alternatives?

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

Colornet - Neural Network to colorize grayscale images

Deep Learning Gallery - A curated list of awesome deep learning projects

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

AETROS - Create, train and monitor deep neural networks

Azure Machine Learning Service - Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

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