Essays about: "batch normalization"

Showing result 1 - 5 of 12 essays containing the words batch normalization.

1. 1. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Baptiste Bremond; [2024]
   Keywords : TVAE; Differential privacy; Tabular data; Synthetic data; DP-SGD; TVAE; differentiell integritet; tabelldata; syntetiska data; DP-SGD;

   Abstract : This thesis investigates the effectiveness of Tabular Variational Auto Encoders (TVAEs) in generating high-quality synthetic tabular data and assesses their compliance with differential privacy principles. The study shows that while TVAEs are better than VAEs at generating synthetic data that faithfully reproduces the distribution of real data as measured by the Synthetic Data Vault (SDV) metrics, the latter does not guarantee that the synthetic data is up to the task in practical industrial applications. READ MORE

3. 2. Improved U-Net architecture for Crack Detection in Sand Moulds

   University essay from Högskolan i Gävle/Datavetenskap

   Author : Husain Ahmed; Hozan Bajo; [2023]
   Keywords : U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

   Abstract : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. READ MORE

4. 3. Use of Stochastic Switching in the Training of Binarized Neural Networks

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Svante Åkesson; [2022]
   Keywords : Machine Learning BNN Binarized Neural Network Deep Learning Convolutional Batchnormalization Stochastic Switching Training Gradient Accumulation Undo Binary Weights Memristor FTJ Hardware; Technology and Engineering;

   Abstract : Most prior research into the field of Binarized Neural Networks (BNNs) has been motivated by a desire to optimize Deep Learning computations on traditional hardware. These methods rely on bit-wise operations to drastically decrease computation time, however to address the resulting loss in accuracy it is common practice to reintroduce continuous parameters and train using batch normalization. READ MORE

5. 4. The research of background removal applied to fashion data : The necessity analysis of background removal for fashion data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Junhui Liang; [2022]
   Keywords : Background Removal; Fashion Analysis; Salient Object Detection;

   Abstract : Fashion understanding is a hot topic in computer vision, with many applications having a great business value in the market. It remains a difficult challenge for computer vision due to the immense diversity of garments and a wide range of scenes and backgrounds. READ MORE

6. 5. Deep Learning for Chromosome Segmentation with Uncertainty Estimation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Arvid Norström; [2021]
   Keywords : ;

   Abstract : Karyotyping, the process of pairing and ordering chromosomes, is an important tool for cytogenetic analysis to detect chromosome abnormalities. A trained specialist analyses the resulting image of the karyotyping, known as a karyogram, paying attention to the size, shape, and number of the chromosomes. READ MORE