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Spell VS Neural Networks and Deep Learning

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

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Spell logo Spell

Deep Learning and AI accessible to everyone

Neural Networks and Deep Learning logo Neural Networks and Deep Learning

Core concepts behind neural networks and deep learning
  • Spell Landing page
    Landing page //
    2022-09-23
  • Neural Networks and Deep Learning Landing page
    Landing page //
    2021-07-27

Spell videos

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Love Spells 24 Reviews 💙 My experience with their spells (excited to share)

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Neural Networks and Deep Learning videos

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Category Popularity

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

Spell

Neural Networks and Deep Learning

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
AI
73 73%
AI
27% 27
Developer Tools
69 69%
Developer Tools
31% 31
Games
0 0%
Games
100% 100

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.

Spell mentions (0)

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

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 Spell and Neural Networks and Deep Learning, you can also consider the following products

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Colornet - Neural Network to colorize grayscale images

Neuton.AI - No-code artificial intelligence for all

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

AETROS - Create, train and monitor deep neural networks

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