To keep up-to-date with what’s new in the world of Apache MXNet, follow us at:
Twitter: @ApacheMXNet <https://twitter.com/ApacheMXNet> Medium: apache-mxnet <https://medium.com/apache-mxnet> Youtube: apachemxnet <https://www.youtube.com/apachemxnet> Reddit: r/mxnet <https://www.reddit.com/r/mxnet/> Here’s a digest of tutorials, blogs, videos and announcements about Apache MXNet during July 2018. 94% accuracy on CIFAR-10 in 10 minutes with Amazon SageMaker <https://medium.com/apache-mxnet/94-accuracy-on-cifar-10-in-10-minutes-with-amazon-sagemaker-754e441d01d7> Distributed training and the newest algorithmic developments result in impressive training times for computer vision. Leveling up on Sagemaker <https://medium.com/apache-mxnet/leveling-up-on-sagemaker-c7a5a438f0f6> The Sagemaker series continues with a deep dive on advanced topics related to MXNet on Sagemaker. ONNX Model Zoo: Developing a face recognition application with ONNX models <https://medium.com/apache-mxnet/onnx-model-zoo-developing-a-face-recognition-application-with-onnx-models-64eeeddb9c7a> A worked example of using a model in the ONNX interchange format from the Model Zoo to do face recognition. Scalable multi-node deep learning training using GPUs in the AWS Cloud <https://aws.amazon.com/blogs/machine-learning/scalable-multi-node-deep-learning-training-using-gpus-in-the-aws-cloud/> Take AWS infrastructure to the max for distributed training. GluonNLP — Deep Learning Toolkit for Natural Language Processing <https://medium.com/apache-mxnet/gluonnlp-deep-learning-toolkit-for-natural-language-processing-98e684131c8a> A toolkit of word embeddings, state-of-the-art implementations of models from the latest research papers, and utility functions for the common datasets. Logistic regression using Gluon API explained <https://mxnet.incubator.apache.org/tutorials/gluon/logistic_regression_explained.html> A step-by-step tutorial on implementing logistic regression using Gluon. Let Sentiment Classification Model speak for itself using Grad CAM <https://medium.com/apache-mxnet/let-sentiment-classification-model-speak-for-itself-using-grad-cam-88292b8e4186> Visualizing the inner workings of a movie review sentiment classification model. A Way to Benchmark Your Deep Learning Framework On-premise <https://medium.com/apache-mxnet/let-sentiment-classification-model-speak-for-itself-using-grad-cam-88292b8e4186> SK Telecom discusses how they systematically evaluated several deep learning frameworks, and why they chose MXNet.
