Essays about: "hyperparameter optimization"
Showing result 1 - 5 of 49 essays containing the words hyperparameter optimization.
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1. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. READ MORE
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2. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE
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3. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner
University essay from Uppsala universitet/Signaler och systemAbstract : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. READ MORE
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4. Evaluation of machine learning models for classifying malicious URLs
University essay from Högskolan i Gävle/DatavetenskapAbstract : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. READ MORE
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5. Latency Prediction in 5G Networks by using Machine Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. READ MORE
