I show how to automatically fit the Support Vector Machine cost parameter by automating the manual search for the optimal cost.

На школе мы объясним, как байесовские методы и глубинное обучение объединяются в единый формализм, покажем примеры успешного применения нейробайесовских моделей, расскажем про современные методы стохастической оптимизации и основные библиотеки глубинного…

How evolution taught us the “genetic algorithm”

NeuroBlast is a classic arcade space shooter with ML-powered AI. - ActiveState/neuroblast

Andrew Rabinovich, Director of Deep Learning at Magic Leap, presents the "Performing Multiple Perceptual Tasks With a Single Deep Neural Network" tutorial at...

There are many design decisions to make when using recurrent neural networkssuch as LSTM or GRU. I conducted some experiments to see what works well on theTe...

Collection of generative models in Tensorflow. Contribute to hwalsuklee/tensorflow-generative-model-collections development by creating an account on GitHub.

The goal of developing an LSTM model is a final model that you can use on your sequence prediction problem.

In this post, you will discover how to finalize your model and use it to make predictions on new data.

After completing this post, you will know:…

From trained models to prediction servers

My first blog on machine learning is to discuss a pet peeve I have about working in the industry, namely why not to apply an RBF kernel to text classification tasks. I wrote this as a follow up to …

Part 1: Table Stakes

How machine learning tools help fundamental science

Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks (RNNs), are n...