├── Journal Club Papers 2018.csv ├── README.md ├── notebooks ├── cnn_ae_noise.png ├── cnn_ae_noise_2.png ├── cnn_autoencoder.h5 ├── cnn_decoder.h5 ├── cnn_encoder.h5 ├── deep_autoencoder.h5 ├── deep_autoencoder_l1.h5 ├── deep_decoder.h5 ├── deep_decoder_l1.h5 ├── deep_encoder.h5 ├── deep_encoder_l1.h5 ├── dog.jpg ├── keras_autoencoders.ipynb ├── keras_cnn.ipynb ├── keras_cnn_transfer_learning.ipynb ├── keras_nn_intro.ipynb ├── keras_text_classification.ipynb ├── keras_text_generation.ipynb ├── keras_vae.ipynb ├── nietzche.model ├── plane.jpg ├── playing_with_autoencoders.ipynb └── vae_cnn_mnist.h5 └── slides ├── #0. Course Logistics.pdf ├── #1. Искусственный интеллект, обзор области.pdf ├── #10. Практика - Генерация текста с помощью нейросети.pdf ├── #11. Практика - Классификация текстов.pdf ├── #12. Sequence Learning.pdf ├── #2. Введение в нейросети.pdf ├── #3. Практика - Введение в Keras - FFN, AE.pdf ├── #4. Нейросетевая обработка изображений.pdf ├── #5-6. Как устроены реальные современные модели.pdf ├── #7. Transfer Learning.pdf ├── #8. Продвинутые свёрточные сети.pdf └── #9. 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