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...

Apache MXNet is an Open Source library helping developers build, train and run Deep Learning models.

Demo of running NNs across different frameworks. Contribute to ilkarman/DeepLearningFrameworks development by creating an account on GitHub.

How to use Estimator, Experiment and Dataset to train models

Друзья!

Мы поздравляем всех наших подписчиков с днем знаний и желаем, чтобы знаний было больше, их приобретение – интересным, а сами знания – более полезными.

Чтобы воплотить эти пожелания в...

В завершающей статье цикла, посвящённого обучению Data Science с нуля, я делился планами совместить мое старое и новое хобби и разместить результат на Хабре. Пос...

Sequence prediction is different from other types of supervised learning problems. The sequence imposes an order on the observations that must be preserved when training models and making predictions. Generally, prediction problems that involve sequence data…