Usa i tuoi framework di Machine Learning open source preferiti, tra cui PyTorch, TensorFlow e scikit-learn. Crea e distribuisci modelli di Machine Learning più rapidamente con Azure.
Retiarii is the first framework to support deep learning exploratory-training. In particular, Retiarii (i) provides a new programming interface to specify a DNN model space for exploration, as well as an interface to describe the exploration strategy that decides which order to instantiate and ...
features. In this paper, we propose a new learning framework, DeepGBM, which integrates the advantages of the both NN and GBDT by using two corresponding NN components: (1) CatNN, focusing on handling sparse categorical features. (2) GBDT2NN, focusing on dense numerical...
A Collaborative Deep Learning Framework for Conservation 🐾 Introduction At the core of our mission is the desire to create a harmonious space where conservation scientists from all over the globe can unite. Where they're able to share, grow, use datasets and deep learning architectures for wild...
to building deep learning models of your own with Azure Machine Learning, the Microsoft AI platform equips developers with the tools they need. The AI platform is open and flexible, and empowers developers to choose the technology and deep learning framework best suited for their scenarios and sk...
Our idea was to a create a Rosetta Stone of deep-learning frameworks – assuming you know one well, to help anyone leverage any framework. Situations may arise where a paper publishes code in another framework or the whole pipeline is in another language. Instead of writing a ...
TensorFlowis a deep learning framework with a rich ecosystem and a variety of pre-trained models available in theTensorFlow Hub. With ML.NET, you can take these pretrained TensorFlow models and use them for inferencing inside your .NET applications. ...
Learn what deep learning is, what deep learning is used for, and how it works. Get information on how neural networks and BERT NLP works, and their benefits.
Microsoft’s open-source deep-learning toolkit Ease of use: what, not how Fast Flexible First class on Linux and Windows OpenSource Getting Started with CNTK https://notebooks.azure.com/n/1zbIwzaANic/notebooks/CNTK_101_LogisticRegression.ipynb ...
In Azure Machine Learning, you can use a model you built from an open-source framework or build the model using the tools provided. Named-entity recognition Named-entity recognition is a deep learning method that takes a piece of text as input and transforms it into a pre-specified cl...