# Request for review basic introductory pages on ML, Perceptron, Neural Networks

**URL:** <https://discourse.julialang.org/t/request-for-review-basic-introductory-pages-on-ml-perceptron-neural-networks/79341>\
**Category:** Machine Learning\
**Tags:** review, neural-network\
**Created:** [April 11, 2022, 11:53am UTC](https://discourse.julialang.org/t/request-for-review-basic-introductory-pages-on-ml-perceptron-neural-networks/79341 "2022-04-11T11:53:24Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![sylvaticus](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sylvaticus/32/203883_2.png) [@sylvaticus](https://discourse.julialang.org/u/sylvaticus)\
**Post date:** [April 11, 2022, 11:53am UTC](https://discourse.julialang.org/t/request-for-review-basic-introductory-pages-on-ml-perceptron-neural-networks/79341/1 "2022-04-11T11:53:24Z")

</div>

Hello, I have a couple of pages dealing with:

- [General ML concepts and perceptron algorithm](https://sylvaticus.github.io/SPMLJ/stable/03_-_ML1_-_Introduction_to_Machine_Learning/0301_-_Machine_learning_main_concepts.html)
- [Neural network architectures](https://sylvaticus.github.io/SPMLJ/stable/04_-_NN_-_Neural_Networks/0401_-_Neural_network_architectures.html)

These two small “pages” are targeted to non-cs / non-math students that know nothing of ML, with the objective to be as simple as possible, still providing a solid intuition of how ML algorithms and workflows work.

Could someone give a look on them and point to possible (a) inaccuracies or (b) comprehension difficulties? Thanks!