Перевод поста Филиппа Ходжетта, выступавшего недавно на конференции Hollywood Professional Association Tech Retreat. Надеюсь, собранный в одном месте список...

Изложение статьи от том, что давно известные эволюционные стратегии оптимизации могут превзойти алгоритмы обучения с подкреплением. Преимущества эволюционных...

Deep learning neural networks are very easy to create and evaluate in Python with Keras, but you must follow a strict model life-cycle.

In this post, you will discover the step-by-step life-cycle for creating, training, and evaluating Long Short-Term Memory…

An adversarial example library for constructing attacks, building defenses, and benchmarking both - cleverhans-lab/cleverhans

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks" - stormraiser/GAN-weight-norm

Counting Objects with Faster R-CNN. Accurately counting objects instances is a hard problem to solve in machine learning.

Performing anomaly detection using a recurrent neural network to find the ugliest flamingos in a dataset of sketches.

Build a neural network that learns to generate handwritten digits.

Gradient boosting is attracting attention for its prediction speed & accuracy, especially with large & complex data. Learn about gradient boosting here.

For a while now I’ve been experimenting with ways to use generative neural nets to make portraits. Early experiments were based on deepdream-like approaches ...

Disclaimer:

A lecture introducing Variational Inference and Deep Learning. Adapted from a lecture I gave for Aaron Courville's Deep Learning course (IFT 6266).

Combining the world’s most popular sport with everyone’s favourite discrete probability distribution, this post predicts football matches using the Poisson distribution.

Пост про градиентный бустинг (Gradient Boosting), но не совсем обычный. Вместо текста прикрепляю pdf. Вопрос к читателям блога: будет ли полезно, если я подготовлю книжку в таком стиле по основным …

Coding and poker, mostly.

CoreMLVisionDJKhaled - Check if an object seen by your camera is a lion. Uses iOS CoreML, Vision APIs

FAIR researchers have demonstrated that dialog agents with differing goals can negotiate with other bots or people and reach mutual decisions.