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AWS released an awesome tool to teach Reinforcement Learning to beginners, but only exposed a limited interface for controlling it. We’ve hacked it and turned
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AWS released an awesome tool to teach Reinforcement Learning to beginners, but only exposed a limited interface for controlling it. We’ve hacked it and turned
Advances in AI frameworks enable developers to create and deploy deep learning models with as little effort as clicking a few buttons on the screen.
Training GANs using mixed precision VS single precision In the previous post, we described how to change Tensorflow code to perform mixed precision training on
Tensor Cores boost your neural network training Deep neural networks are used in numerous cool applications such as self driving cars or phone call transcription. Over
Kaggle Days is (almost) officially the most interesting event to meet, learn and compete against the most talented data scientists worldwide. And this is how
Building and deploying production-grade machine learning models can be somewhat tricky. Even with technologies like Google Cloud AutoML, Cloud ML Engine and other out-of-the-box machine
Both XGBoost and TensorFlow are very capable machine learning frameworks but how do you know which one you need? Or perhaps you need both? In machine
TL;DR: Amazon SageMaker offers an unprecedented easy way of implementing machine learning pipelines, significantly shortening the time to market for data scientists and engineers. “photo
With Google BigQuery ML you can now predict your Google Cloud spend in just a few minutes and without leaving your BigQuery Console UI. Introduction
As some of you might already know, DoiT International is the engineering power behind reOptimize — Cost Discovery and Optimization SaaS for Google Cloud Platform. With reOptimize
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