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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. How can neural networks fit into Netflix video encoding?

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A Comprehensive Guide to Hyperparameter Tuning: Exploring Advanced Methods

DZone

This article provides an in-depth exploration of advanced hyperparameter tuning methods, including Population-Based Training (PBT), BOHB, ASHA, TPE, Optuna, DEHB, Meta-Gradient Descent, BOSS, and SNIPER. These settings are determined before training and include factors like learning rates, batch sizes, and the number of hidden layers.

Tuning 141
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What the NIS2 Directive means for application security

Dynatrace

The Network and Information Systems 2 (NIS2) Directive, which goes into effect in Oct 2024, aims to enhance the security of network and information systems throughout the EU. NIS2 is an evolution of the Network and Information Systems (NIS) Security Directive, which has been in effect since 2016.

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Detecting Speech and Music in Audio Content

The Netflix TechBlog

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Content, genre and languages Instead of augmenting or synthesizing training data, we sample the large scale data available in the Netflix catalog with noisy labels.

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Observability Unleashed: Dynatrace Partner Amplify SKO Awards

Dynatrace

Training & Certification Award DXC has stood out this year, with 50 individuals becoming Dynatrace Certified across Associate and Professional levels, and this award is a testament to that continued investment in training and enablement with Dynatrace.

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Celebrating game-changing partnerships with the Dynatrace Amplify 2022 Partner Awards

Dynatrace

Innovation is at the heart of success, and no one knows that more than our winner of the LATAM Cloud Innovation Award – Netjer Networks. Training & Certification Award, NORAM. Training & Certification Award, LATAM. Training & Certification Award, LATAM. RFO Training and Certification Award.

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Automate predictive capacity management with Davis AI for Workflows

Dynatrace

While this example uses the metric dt.host.disk.free , you can choose any kind of capacity metric, such as host CPU, memory, or network load—you can even extract a metric value from a given log line. The forecast is trained on a relative timeframe (for example, the last seven days) which is specified in the configured DQL query.

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