math exercices neural networks - SERP Analysis

https://www.youtube.com/watch?v=Ixl3nykKG9M&pp=0gcJCdgAo7VqN5tD

https://ai.stackexchange.com/questions/20910/what-are-some-resources-with-exercises-related-to-neural-networks

https://diposit.ub.edu/dspace/bitstream/2445/180441/2/tfm_lichtner_bajjaoui_aisha.pdf

https://becominghuman.ai/mathematics-of-neural-network-13d204ebfe1

https://www.amazon.com/Math-Deep-Learning-Understand-Networks/dp/1718501900

https://gu-statphys.org/media/mydocs/solutions-machine-learning-with-neural-networks.pdf

https://www.reddit.com/r/deeplearning/comments/17gs8cv/best_books_for_learning_the_maths_behind_neural/

https://ai-ed.ca/nn-math/

https://medium.com/data-science/gentle-dive-into-math-behind-convolutional-neural-networks-79a07dd44cf9

https://www.gilesthomas.com/2025/02/basic-neural-network-matrix-maths-part-1

https://python.plainenglish.io/neural-networks-a-mathematical-approach-part-1-3-22196e6d66c2

https://medium.com/%40waadlingaadil/learn-to-build-a-neural-network-from-scratch-yes-really-cac4ca457efc

https://www.youtube.com/watch?v=w8yWXqWQYmU

https://pitechlearn.com/wp-content/uploads/2022/10/Ronald_T_Kneusel_Math_for_Deep_Learning_What_You_Need_to_Know_to.pdf

https://m-siemens.de/blog/2020/12/the-elegant-math-behind-neural-networks

https://arxiv.org/abs/2310.20360

https://nostarch.com/math-deep-learning

https://lassehansen.me/post/neural-networks-step-by-step/

https://math.uchicago.edu/~may/REU2018/REUPapers/Guilhoto.pdf

https://www.numberanalytics.com/blog/ultimate-guide-neural-networks-mathematics-data-science

https://rish-16.github.io/posts/gnn-math/

https://www.turing.com/kb/mathematical-formulation-of-feed-forward-neural-network

https://community.deeplearning.ai/t/mathematics-of-neural-nets/200322

https://sirupsen.com/napkin/neural-net

https://ai.plainenglish.io/understanding-neural-networks-with-high-school-math-8a54efe7b8fd

https://ai.stackexchange.com/questions/43785/neural-networks-are-universal-approximators-exercice-20-1-uml

https://www.youtube.com/watch?v=8_rrnzn0sS0

https://mathoverflow.net/questions/460130/a-clear-map-of-mathematical-approaches-to-artificial-intelligence

https://arc.aiaa.org/doi/10.2514/1.J063866

https://www.quora.com/Would-we-ever-use-a-neural-network-to-do-math

https://www.numberanalytics.com/blog/mathematics-behind-neural-networks-data-science

https://www.amazon.com/Math-Neural-Networks-Michael-Taylor/dp/1549893645

https://www.youtube.com/watch?v=x7gupF_o69w

https://news.ycombinator.com/item?id=29853802

http://arxiv.org/pdf/2112.15594

https://www.youtube.com/watch?v=VEFoAifG1xs

https://mathoverflow.net/questions/390174/what-are-possible-applications-of-deep-learning-to-research-mathematics

https://www.youtube.com/watch?v=gSAKcxDdJf0

https://www.youtube.com/watch?v=aircAruvnKk&vl=en

https://www.youtube.com/watch?v=IHZwWFHWa-w

https://community.deeplearning.ai/t/parameters-in-neural-network/700293

https://www.quora.com/Is-it-true-that-a-neural-network-can-be-represented-by-just-a-lot-of-matrix-math-How-do-you-implement-one-on-paper

https://www.youtube.com/watch?v=Lakz2MoHy6o&pp=0gcJCdgAo7VqN5tD

https://www.youtube.com/watch?v=vBBYOUgxT04

https://www.mdpi.com/2076-3417/14/2/744

http://neuralnetworksanddeeplearning.com/

https://www.manning.com/books/math-and-architectures-of-deep-learning

https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_159.pdf

https://www.sciencedirect.com/science/article/pii/S009813542200196X

http://www.matt-versaggi.com/mit_open_courseware/Artificial_Intelligence_for_Humans/NeuralMath.pdf

https://www.linkedin.com/pulse/essential-mathematics-understanding-artificial-neural-sayed-qasim

https://github.com/Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization/blob/main/Course-2/Week-3/C2_W3_Assignment.ipynb

https://levelup.gitconnected.com/a-review-of-the-math-used-in-training-a-neural-network-9b9d5838f272

https://uwspace.uwaterloo.ca/bitstreams/3eb41e58-0bae-47cf-aa47-fcf1608acc62/download

https://ieeexplore.ieee.org/abstract/document/10382077/

https://www.biorxiv.org/content/10.1101/2022.06.06.494909.full

https://svitla.com/blog/math-at-the-heart-of-cnn/

https://zerotomastery.io/courses/neural-network-from-scratch/

https://www.pnas.org/doi/10.1073/pnas.1820226116

https://deeplearningmath.org/

https://link.springer.com/article/10.1007/s00365-021-09551-4

https://www.chegg.com/homework-help/questions-and-answers/3-math-exercise-related-training-neural-networks-performing-tensor-operations-eg-matrix-ve-q68775795

https://nms.kcl.ac.uk/ton.coolen/published/1998/summerschool98.pdf

https://www.jasonosajima.com/forwardprop

https://cs.nju.edu.cn/wujx/paper/CNN.pdf

https://www.researchgate.net/publication/375800084_Analyzing_Training_Exercises_with_Mathematical_Algorithms_and_Convolutional_Neural_Network

https://hagan.okstate.edu/NNDesign.pdf

https://www.d2l.ai/chapter_appendix-mathematics-for-deep-learning/index.html

https://web.stanford.edu/class/cs224n/readings/gradient-notes.pdf

https://academic.oup.com/imamat/article/89/1/143/7680268

https://research.chalmers.se/publication/535580/file/535580_Fulltext.pdf

https://www.youtube.com/watch?v=kGtXZLDJEKI

https://turing.iimas.unam.mx/~cgg/cogs/doc/FCS-ANN-tutorial.htm

https://www.math.uh.edu/~dlabate/Lecture_6373_01.pdf

https://pub.towardsai.net/neural-networks-seem-magical-heres-your-simple-mathematical-explanation-1f26e1efd303

https://mltechniques.com/2022/06/13/math-for-machine-learning-12-must-read-books/

http://www.columbia.edu/~jsl2239/transformers.html

https://ceur-ws.org/Vol-2454/paper_84.pdf

https://www.mathworks.com/help/deeplearning/ref/trainnetwork.html

https://da.inf.ethz.ch/teaching/2020/CIL/files/exercises/exercise08.pdf

https://developers.google.com/machine-learning/crash-course/neural-networks/interactive-exercises

https://skim.math.msstate.edu/LectureNotes/Machine_Learning_Lecture.pdf

https://mathematicsinindustry.springeropen.com/articles/10.1186/s13362-019-0066-7

https://studies.helsinki.fi/courses/course-implementation/hy-opt-cur-2324-fc139504-a858-4ea2-a246-3cb89b0ddb68

https://victorzhou.com/blog/intro-to-neural-networks/

https://www.wolfram.com/broadcast/video.php?c=104&v=2077&p=24&&disp=grid

https://jasoncantarella.com/downloads/CNN.pdf

https://dam-oclc.bac-lac.gc.ca/download?is_thesis=1&oclc_number=1007246889&id=0df067e6-306c-4c71-bebb-c1142fb058e1&fileName=caterini_anthony.pdf

https://github.com/greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

https://elmos.scripts.mit.edu/mathofdeeplearning/2017/04/09/mathematics-of-deep-learning-lecture-2/

https://towardsdatascience.com/the-math-behind-recurrent-neural-networks-2de4e0098ab8/

https://docs.pytorch.org/tutorials/beginner/pytorch_with_examples.html

https://www.linkedin.com/pulse/maths-behind-neural-networks-how-machines-learn-using-zain-elhassan-r3w0e

https://vinodsblog.com/2021/10/21/powerful-math-behind-convolutional-neural-networks-cnns/

https://www.math.univ-toulouse.fr/~besse/Wikistat/pdf/st-m-hdstat-rnn-deep-learning.pdf

https://spectrum.ieee.org/black-box-ai

https://www.youtube.com/watch?v=RiqWATOoos8

https://genai.acloudfan.com/30.ai-ml-fundamentals/ex-1-neural-networks/

https://rduits.win.tue.nl/MNN.pdf

https://www.istc.cnr.it/en/grouppage/locen-resources-initial-programming-exercises-simple-neural-networks