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Understanding deep neural networks

O'Reilly on Data

The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning. On the theoretical side, his works spans algorithmic and statistical methods for matrices, graphs, regression, optimization, and related problems. Continue reading Understanding deep neural networks.

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A Practitioner’s Guide to Deep Learning with Ludwig

Domino Data Lab

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research.

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The DataOps Vendor Landscape, 2021

DataKitchen

Observe, optimize, and scale enterprise data pipelines. . GitHub – A provider of Internet hosting for software development and version control using Git. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories. Azure Repos – Unlimited, cloud-hosted private Git repos. .

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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

Model servers are responsible for running models using highly optimized frameworks, which we will cover in detail in a later post. Users can deploy trained models, including GenAI models or predictive deep learning models, directly to the Cloudera AI Inference service.

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DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimized GPU Workloads at Scale

DataRobot

Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. Request a Demo.

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Deep learning for improved breast cancer monitoring using a portable ultrasound scanner

Insight

The model was a modified U-Net and trained on GPU hosted by Amazon Web Services (AWS) EC2 instances. The model is optimized for recall in order to reduce the false negative. Conclusions The deep learning model developed in this project can automatically detect lesions in the ultrasound images. and the recall is 0.85

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

The center of each cluster is the optimal location for setting up health centers. Similarly, when a user watches a movie from a series, the video hosting application recommends other movies from the series. Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain.