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How to build a neural network in Java

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java.

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Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

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10 databases supporting in-database machine learning

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

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How to choose a cloud machine learning platform

12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle—and which cloud machine learning platforms provide them.

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What is CUDA? Parallel programming for GPUs

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing power of GPUs.

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TensorFlow 2.10 shines on Keras, Decision Forests

Update to Google’s open source machine learning platform brings Keras improvements, performance enhancements, and TensorFlow Decision Forests 1.0.

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TensorFlow, PyTorch, and JAX: Choosing a deep learning framework

Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?

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Microsoft previews text classification API for ML.NET

New text classification API for Microsoft’s open source machine learning framework streamlines model training by using your data to fine-tune an existing model.

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What is PyTorch? Python machine learning on GPUs

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

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What is neural architecture search? AutoML for deep learning

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset.

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Review: Nvidia AI Enterprise shines on VMware

Nvidia’s VMware-optimized AI software stack offers a strong alternative to doing machine learning in the AWS, Azure, and Google clouds. Nvidia LaunchPad lets you try it out for free.

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UNESCO launches global standard for AI ethics

Standard aims to provide AI with a strong ethical basis that will not only protect but also promote human rights and human dignity.

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Explainable AI explained

Someday machine learning models may be more ‘glass box‘ than black box. Until then, explainability tools and techniques can help us understand how a black box model makes its decisions.

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Review: Google Cloud Vertex AI irons out ML platform wrinkles

Vertex AI greatly improves the integration of Google Cloud’s AI/ML platform and AutoML services, combining a new unified API with very good modeling capabilities.

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What is vector search? Better search through AI

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

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Machine learning is moving beyond the hype

Today, companies across every industry are deploying millions of machine learning models across multiple lines of business. Soon every enterprise will take part.

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What is AI bias mitigation, and how can it improve AI fairness?

Algorithmic biases that lead to unfair or arbitrary outcomes take many forms. But we also have many strategies and techniques to combat them.

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3 ways AI improves CRM

AI has the power to liberate organizations from CRM-related manual processes and improve customer engagement, sales insights, and social networking, for starters.

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