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Life & fun · alternatives · 2026

24 alternatives to Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit

:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World

Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit is a collection of educational resources for learning deep learning with the Microsoft Cognitive Toolkit. The project provides step-by-step tutorials… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit launched in 2017; newer entries below may have overtaken it.

  1. 1

    Microsoft's deep learning toolkit

    2017 · microsoft.com · its alternatives →

  2. 2

    :earth_americas: Simple and ready-to-use tutorials for TensorFlow - TensorFlow-World/README.rst at master · astorfi/TensorFlow-World

    2017 · github.com · its alternatives →

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    :earth_americas: Simple and ready-to-use tutorials for TensorFlow - astorfi/TensorFlow-World

    2019 · github.com · its alternatives →

  4. 4

    :satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow

    2018 · github.com · its alternatives →

  5. 5

    Open source deep learning toolkit

    2016 · microsoft.com · its alternatives →

  6. 6

    :earth_americas: Simple and ready-to-use tutorials for TensorFlow - astorfi/TensorFlow-World

    2018 · github.com · its alternatives →

  7. 7

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2019 · github.com · its alternatives →

  8. 8
    Skillkit▲252

    It's an open-source project that lets you create, translate, and work with multiple agents at the same time, and more.

    Feb 2026 · agenstskills.com · its alternatives →

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  10. 10
  11. 11

    The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.

    2020 · github.com · its alternatives →

  12. 12

    Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  13. 13

    A unified deep-learning toolkit by Microsoft Research

    2016 · github.com · its alternatives →

  14. 14

    I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…

    2022 · courses.dibya.online · its alternatives →

  15. 15DL
  16. 16AV

    Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train

    2016 · jalammar.github.io · its alternatives →

  17. 17
    Coursekit▲257

    Turn your course into a full suite of embeddable AI agents

    Mar 2026 · productizeyourmind.com · its alternatives →

  18. 18
    Deepkit▲69

    The collaborative and analytical AI training suite

    2020 · deepkit.ai · its alternatives →

  19. 19

    Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…

    2022 · nlpdemystified.org · its alternatives →

  20. 20

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2018 · github.com · its alternatives →

  21. 21GC

    Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...

    2016 · tkipf.github.io · its alternatives →

  22. 22

    Enter a topic and get a learning mind map generated by an LLM with links to learn more about each subtopic. You can use it with local models (through Ollama) or external models. If you have any feedback, please share it! Hope it's useful Demo: https://youtu.be/Y-9He-tG3aM

    2024 · github.com · its alternatives →

  23. 23
    Diffgram▲104

    Learn to work with deep learning without code

    2019 · github.com · its alternatives →

  24. 24

    The textbook for modern machine learning

    2016 · amazon.com · its alternatives →

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