«Глубокое обучение» (Deep Learning)

Лекционные материалы полугодового потокового курса по глубокому обучению на факультете ВМК МГУ им. М.В.Ломоносова для студентов 4го курса.

Лектор: Китов Виктор Владимирович
Лицензия на использование материалов.
Многие темы детально разобраны в онлайн-учебнике по глубокому обучению DeepMachineLearning.ru.

Name		Name	Last commit message	Last commit date
Latest commit History 49 Commits
.gitignore		.gitignore
010-Tasks of deep learning.pdf		010-Tasks of deep learning.pdf
020-Multilayer perceptron.pdf		020-Multilayer perceptron.pdf
030-Deep neural nets optimization.pdf		030-Deep neural nets optimization.pdf
035-Automatic differentiation.pdf		035-Automatic differentiation.pdf
037-Training simplification.pdf		037-Training simplification.pdf
040-Convolutional neural networks.pdf		040-Convolutional neural networks.pdf
045-Augmentation of image datasets.pdf		045-Augmentation of image datasets.pdf
050-Image classification architectures.pdf		050-Image classification architectures.pdf
060-Semantic segmentation.pdf		060-Semantic segmentation.pdf
070-Object detection, two-stage detectors.pdf		070-Object detection, two-stage detectors.pdf
072-One-stage detectors.pdf		072-One-stage detectors.pdf
075-Instance segmentation.pdf		075-Instance segmentation.pdf
080-Embeddings.pdf		080-Embeddings.pdf
090-Recurrent neural nets.pdf		090-Recurrent neural nets.pdf
095-Text tokenization.pdf		095-Text tokenization.pdf
100-Transformer.pdf		100-Transformer.pdf
105-Contextual embeddings.pdf		105-Contextual embeddings.pdf
107-GPT models.pdf		107-GPT models.pdf
110-Speech recognition.pdf		110-Speech recognition.pdf
120-GANs.pdf		120-GANs.pdf
130-Speech synthesis.pdf		130-Speech synthesis.pdf
140-Graph neural networks.pdf		140-Graph neural networks.pdf
150-Special architectures.pdf		150-Special architectures.pdf
LICENCE.md		LICENCE.md
README.md		README.md
optuna_demo.ipynb		optuna_demo.ipynb

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