Essays about: "training experience"
Showing result 1 - 5 of 412 essays containing the words training experience.
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1. Automating the identification of components in 3D models
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Online house building tools are robust instruments that have transformed the approach to home planning and design. The significance of 3D models on online house building and design platforms lies in their ability to elevate the user experience, enhance design precision, and foster collaboration. READ MORE
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2. From Investment to Payoff: Exploring the CostImplications of AI Adoption in InventoryManagement Across the Different Phases
University essay from Jönköping University/Internationella HandelshögskolanAbstract : Background and problem discussion: In recent years, there has been increasing recognition ofArtificial intelligence (AI) and its benefits in various sectors, including inventory management,which is a significant component of company expenses. However, adopting AI in inventorymanagement also comes with challenges and expenses before businesses can fully reap itsbenefits. READ MORE
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3. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. READ MORE
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4. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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5. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. READ MORE