CycleGAN

Torch implementation for learning an image-to-image translation (i.e. pix2pix) without input-output pairs, for example:

Monet Paintings to Photos
Collection Style Transfer
Object Transfiguration
Season Transfer
Photo Enhancement: iPhone photo to DSLR photo

https://github.com/junyanz/CycleGAN

How to Use Tensorboard (LIVE)
https://www.youtube.com/watch?v=fBVEXKp4DIc&feature=em-lss

Началась трансляция Shukhov Lab на #4 Global AI Meetup

Спикеры и темы докладов:

Вадим Будаев, CTO Scorch.ai
Дмитрий Малянов, Сo-founder Scorch.ai
Тема доклада - Создание инструментов машинного зрения на примере Scorch.ai

Александр Чигорин,
Руководитель исследовательских проектов компании VisionLabs
Тема доклада - Ускорение и сжатие нейронных сетей

Программа встречи:
18:30 - 19:00, сбор гостей
19:00 - 19:15, приветствие от команды AI Community
19:15 - 19:45, доклад Scorch.ai
19:45 - 20:15, доклад VisionLabs
20:15 - 20:30, перерыв
20:30 - 21:00, доклад (спикер уточняется)
21:00 - 21:30, серия коротких питчей от CV-стартапов

Будет трансляция и запись.

Чат https://news.1rj.ru/str/joinchat/AAAAAEBvCQCktFZtF-Ovog
https://www.facebook.com/aicommunityru/videos/1915458185339954/

Основы в Data Science и Big Data.
На русском.

Издатель https://www.piter.com/collection/all/product/osnovy-data-science-i-big-data-python-i-nauka-o-dannyh
Купить http://www.ozon.ru/context/detail/id/139191940/

Data Science
Новый адаптивный курс на Stepic (eng)
Для обучения используют Julia (https://julialang.org/)

Right now Stepik is developing an adaptive learning engine which chooses content for each learner individually and give everyone individual learning path. In this course you can try out this adaptive engine and learn Data Science.

The course consists of the best lessons that were submitted for the Stepik Contest. That's why we invite all students not only learn, but also evaluate the recommended lessons. If you like or dislike lessons use the buttons on the bottom of the lesson to show that.

https://stepik.org/course/Stepik-Contest-Data-Science-2607/

How to Generate Images with Tensorflow (LIVE)
https://www.youtube.com/watch?v=iz-TZOEKXzA&feature=em-lss

Food Classification with Deep Learning in Keras / Tensorflow

https://github.com/stratospark/food-101-keras

http://blog.stratospark.com/deep-learning-applied-food-classification-deep-learning-keras.html