One common way to execute image classification is through convolutional neural networks, a technique implementing deep learning, which is a subset of machine learning, which is in turn a …
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gedolks/Diploma-Thesis-Image-Classification-Using …
2024年10月9日 · This repository contains the code developed for my diploma thesis, which focuses on various machine learning techniques for …
As the second contribution, the thesis presents a novel multi-level context and uncertainty-aware deep learning architecture named MCUa for the classification of breast cancer microscopic …
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As mentioned above, in this thesis we study the heterogeneous inductive transfer learning scenario for image classification. Specifically, we propose two different approaches to tackle …
- 作成者: Ying Lu
- Subject: Engineering Sciences [physics]/Other
- Created Date: 5/21/2025 1:25:03 PM
- タイトル: Transfer Learning for Image Classification
Image Classification with Deep Learni - uni-hamburg.de
un-Prof. Dr. Gregor Kasieczka Abstract A deconvolutional network approach for the visualization of the learning of a g. laxy image classifier is presented here. For the classification, a …
Image classification using machine learning techniques
The contribution of this dissertation is an empirical comparison (evaluation) of five machine learning (ML) techniques, in terms of classifying satellite images.
(PDF) Image classification using Deep learning
2018年3月18日 · By conducting this comprehensive analysis, we contribute valuable insights into selecting appropriate machine learning algorithms …
The primary goal of the project was to evaluate two frameworks for developing and implement-ing machine learning models using deep learning and neural networks, Google TensorFlow and …
Diploma-Thesis-Image-Classification-Using-Machine-Learning ...
2024年10月9日 · The project explores multiple algorithms, including Support Vector Machines (SVM), Decision Trees, and ensemble methods like Bagging, applied to a custom image dataset.
This can save considerable manual efforts and time for labelling, especially for tasks which require dense annotations. This thesis focuses on two practical tasks, i.e., coral image …
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