Essays about: "hyperparameteroptimering"
Showing result 6 - 9 of 9 essays containing the word hyperparameteroptimering.
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6. Designing a Performant Ablation Study Framework for PyTorch
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : PyTorch is becoming a really important library for any deep learning practitioner, as it provides many low-level functionalities that allow a fine-grained control of neural networks from training to inference, and for this reason it is also heavily used in deep learning research, where ablation studies are often conducted to validate neural architectures that researchers come up with. To the best of our knowledge, Maggy is the first open-source framework for asynchronous parallel ablation studies and hyperparameter optimization for TensorFlow, and in this work we added important functionalities such as the possibility to execute ablation studies on PyTorch models as well as the generalization of feature ablation on any data type. READ MORE
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7. A Reward-based Algorithm for Hyperparameter Optimization of Neural Networks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Machine learning and its wide range of applications is becoming increasingly prevalent in both academia and industry. This thesis will focus on the two machine learning methods convolutional neural networks and reinforcement learning. READ MORE
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8. Ablation Programming for Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As machine learning systems are being used in an increasing number of applications from analysis of satellite sensory data and health-care analytics to smart virtual assistants and self-driving cars they are also becoming more and more complex. This means that more time and computing resources are needed in order to train the models and the number of design choices and hyperparameters will increase as well. READ MORE
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9. Evaluating Random Forest and a Long Short-Term Memory in Classifying a Given Sentence as a Question or Non-Question
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Natural language processing and text classification are topics of much discussion among researchers of machine learning. Contributions in the form of new methods and models are presented on a yearly basis. However, less focus is aimed at comparing models, especially comparing models that are less complex to state-of-the-art models. READ MORE
