Run SageMaker Processing Jobs from Step Functions
Learn how to run SageMaker Processing Jobs from AWS Step Functions using two simple Lambda functions to start and monitor your jobs.
XGBoost hyperparameter tuning with Bayesian optimization using Python
XGBoost has a lot of hyper-parameters that need to be tuned to achieve optimal performance. In the following, I will show you how you can use Bayesian optimization to automatically find the best hyper-parameters in an easy and efficient way.
SqueezeNet and MobileNet: Deep learning models for mobile phones
Do you want to use image recognition in your mobile app? To deploy machine learning models to your phone and get fast predictions, the model size is key. SqueezeNet and MobileNet are two network architectures that are well suited for mobile phones and achieve impressive accuracy levels above AlexNet. While the current trend is to … Read more
Image classification with Convolutional Neural Networks
Convolutional Neural Networks are the state of art approach to classify images. In this post I will show you what Convolutional neural networks (CNNs) are and how you can use them for image classification. Together we will apply them to the famous CIFAR-10 data-set and classify all the images in 10 different categories. What you … Read more