MachineLearningExperiences

Некоторые примеры были взяты из лекций https://www.youtube.com/channel/UC5gufuYHPSsJA-jul-iwyXA/playlists?view=50&sort=dd&shelf_id=8 https://www.asozykin.ru/courses/nnpython

Usefull links

  1. http://neuralnetworksanddeeplearning.com/

  2. Machine Learning Roadmap https://www.youtube.com/watch?v=pHiMN_gy9mk&feature=youtu.be

  3. Introduction to Convolutional Neural Networks (CNN) https://m.habr.com/ru/post/510816/ https://m.habr.com/ru/post/510560/ https://towardsdatascience.com/detecting-face-features-with-python-30385aee4a8e

  4. Recognition of the formulas to latex http://lstm.seas.harvard.edu/latex/, https://github.com/harvardnlp/im2markup

  5. NN to find appartment https://vc.ru/ml/138697-kak-ya-nashel-krasivuyu-kvartiru-s-horoshim-remontom-s-pomoshchyu-sobstvennoy-neyroseti

  6. TensorFlow sertification https://m.habr.com/ru/company/skillfactory/blog/508712/

  7. 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python https://www.mrdbourke.com/5-beginner-friendly-steps-to-learn-machine-learning/

  8. https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2.md

  9. Machine Learning Notebooks: Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow: https://github.com/ageron/handson-ml2

  10. Install Gym on Windows under Anaconda https://towardsdatascience.com/how-to-install-openai-gym-in-a-windows-environment-338969e24d30 после установки gym для запуска из терминала или Pycharm в терминале нужно ввести команду activate gym. После чего можно запускать код (через строку).

  11. seq2seq: https://m.habr.com/ru/post/486158/ https://m.habr.com/ru/company/otus/blog/430780/ https://m.habr.com/ru/post/440472/ https://towardsdatascience.com/attention-seq2seq-with-pytorch-learning-to-invert-a-sequence-34faf4133e53

  12. https://alexanderkurakin.blogspot.com/2019/01/pytorch-data-loading-preprocessing.html

  13. https://proglib.io/p/deep-learning-books/

  14. Машинное обучение для людей