Essays about: "Hyperparameter Optimisation"
Showing result 1 - 5 of 8 essays containing the words Hyperparameter Optimisation.
-
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
-
2. Node embedding algorithms in product recommendation systems
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Product recommendation systems are used for recommending products or product- groups to users or user-groups. With the rise of big data, these systems are in- creasingly being built on machine learning algorithms that use the collection of data to train and produce recommendations. READ MORE
-
3. Object detection for autonomous trash and litter collection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Trashandlitter discarded on the street is a large environmental issue in Sweden and across the globe. In Swedish cities alone it is estimated that 1.8 billion articles of trash are thrown to the street each year, constituting around 3 kilotons of waste. One avenue to combat this societal and environmental problem is to use robotics and AI. READ MORE
-
4. Scenario Reduction in Debt Simulations Using Recurrent Autoencoders : Finding Meaningful Patterns in Stochastic Processes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis studies how improvements can be made to a simulation model used to analyse debt portfolios. Today, the simulation model needs to evaluate a portfolio over a large sample of scenarios to get accurate results. This can be time-consuming if the portfolios consist of many different and complex securities. READ MORE
-
5. Hyperparameter optimisation using Q-learning based algorithms
University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Abstract : Machine learning algorithms have many applications, both for academic and industrial purposes. Examples of applications are classification of diffraction patterns in materials science and classification of properties in chemical compounds within the pharmaceutical industry. READ MORE
