{"id":26546659,"url":"https://github.com/dariarty/deep_learning_methods","last_synced_at":"2026-04-16T19:09:08.032Z","repository":{"id":283315808,"uuid":"951374078","full_name":"Dariarty/Deep_Learning_Methods","owner":"Dariarty","description":"Репозиторий с лабораторными и домашними работами дисциплины «Методы глубокого обучения» магистерской программы КФ МГТУ им. Н. Э. 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Н. Э. Баумана 2024-2025 гг. \u003c/br\u003e\u003c/br\u003e\nСтудент Дармограй А. Э.\n\n# Лабораторные работы\n1. ЛР№1.1. Общая информация о библиотеках Keras и TensorFlow. Глубокое обучение сверточных нейронных сетей\u003c/br\u003e\n* \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/LAB_1_1/heat_map.ipynb\" title=\"Grad CAM link\"\u003eВизуализация тепловой карты методом Grad CAM\u003c/a\u003e\n* \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/LAB_1_1/feature_map.ipynb\" title=\"Grad CAM link\"\u003eВизуализация карт признаков\u003c/a\u003e\n* \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/LAB_1_1/gradient_descent.ipynb\" title=\"Grad CAM link\"\u003eГрадиентный спуск\u003c/a\u003e\n\n2. \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/LAB_1_2/bigmart_rnn.ipynb\" title = \"Lab_1_2_link\"\u003eЛР№1.2.Реккурентные нейронные сети. Разработка модели RNN.\u003c/a\u003e\n3. \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/LAB_2_1/vae.ipynb\" title = \"Lab_2_1_link\"\u003eЛР№2.1. Нейронная передача стиля. Генеративно-состязательные сети. модель вариационного автокодировщика VAE.\u003c/a\u003e\n3. \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/LAB_2_2/\" title = \"Lab_2_2_link\"\u003eЛР№2.2. Модели трансформеров. Языковая модель GPT и ее реализация на языке Python. Библиотека OpenAI. Разработка голосового бота для общения на тему \"Нейронные сети\".\u003c/a\u003e\n\n# Домашние работы\n1. \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/DR_1/gan.ipynb\" title = \"dr1_link\"\u003eДР№1. Глубокая генеративно-состязательная сеть GAN.\u003c/a\u003e\n2. \u003ca href=\"https://github.com/Dariarty/Deep_Learning_Methods/blob/main/src/DR_2/lstm.ipynb\" title = \"dr2_link\"\u003eДР№2. Посимвольная генерация текста на основе LSTM.\u003c/a\u003e\n\n# Атрибуция\n\nИспользованные изображения:\n* Fish photo by \u003ca href=\"https://unsplash.com/@tangzhengtao?utm_content=creditCopyText\u0026utm_medium=referral\u0026utm_source=unsplash\"\u003ezhengtao tang\u003c/a\u003e on \u003ca href=\"https://unsplash.com/photos/white-gold-fish-V7SKRhXskv8?utm_content=creditCopyText\u0026utm_medium=referral\u0026utm_source=unsplash\"\u003eUnsplash\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdariarty%2Fdeep_learning_methods","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdariarty%2Fdeep_learning_methods","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdariarty%2Fdeep_learning_methods/lists"}