Мы научили нейросеть делать картины, она не смогла остановиться — получилась виртуальная галерея —> https://t.co/Cc4xnS7pse Пока реальные музеи закрыты, наша работает! https://t.co/kaMzkwt0tP

This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning. In addition to describing our work, this post will tell you a bit more about generative…

Code for the paper "Generative Adversarial Imitation Learning" - GitHub - openai/imitation: Code for the paper "Generative Adversarial Imitation Learning"

Neural Networks are Surprisingly Modular “Trained networks that undergo weight pruning are often significantly more modular than random networks with the same distribution of weights. Interestingly, they are much more modular when trained with dropout.“ …

Building deep learning models (using embedding and recurrent layers) for different text classification problems such as sentiment analysis or 20 news group classification using Tensorflow and Keras in Python

Endless Tokyo GAN tiling https://t.co/KwBmglj34n

Have GAN, will travel Paris unlocked https://t.co/wqITAkDHt9

Мы научили нейросеть делать картины, она не смогла остановиться — получилось 4 тысячи странных, но привлекательных изображений. Из них мы собрали виртуальную галерею.

Neuroevolution of Self-Interpretable Agents Agents with a self-attention “bottleneck” not only can solve these tasks from pixel inputs with only 4000 parameters, but they are also better at generalization! article https://t.co/RZajob6kRs pdf https://t.co/uchTg3kMdb…

A framework based on TensorFlow to ease training of generative models

Shape Study Bike @iamspecialized https://t.co/PXAOFPGSpV

Sous les pavés https://t.co/COFwruep2o

Используем нейронные сети для определения тематики новостей из набора данных AG's News Topic Classification Dataset. Страница курса - https://www.asozykin.ru/courses/nnpython

Ноутбук с кодом из видео - https://colab.research.google.com/drive/1HYo9AcQeW…