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Suppressing Final Layer Hidden State Jumps in Transformer Pretraining

Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, Jaesung Lee, Wataru Ikeda, Jun Suzuki   +5 more
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HCA-DBN: a hill climbing optimized Deep Belief Network for crop yield classification based on kernel weight threshold. [PDF]

Front Artif Intell
Sandhya P, Venkataramana B.
europepmc   +1 more source

Comparison of neural and traditional techniques for soliton structures and dynamical behavior in a double-chain DNA model. [PDF]

Sci Rep
Majid SZ, Sağlam FNK, Ullah MS.
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Brain Tumor MRI Segmentation Using Hidden Layer Convolutional Neural Networks and Discrete Wavelet Transform Technique With KSVM

Mrs. Prerana A. Wankhede, Swati R. Dixit, Prabhakar D. Dorge   +2 more
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Order parameters and phase transitions of continual learning in deep neural networks. [PDF]

Proc Natl Acad Sci U S A
Shan H, Li Q, Sompolinsky H.
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Predicting Liquid Crystal Behavior with Artificial Neural Networks. [PDF]

Micromachines (Basel)
Chattha S, Upreti SR, Chan PK.
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Hidden Layers in Perceptual Learning

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Studies in visual perceptual learning investigate the way human performance improves with practice, in the context of relatively simple (and therefore more manageable) visual tasks. Building on the powerful tools currently available for the training of Convolution Neural Networks (CNN), networks whose original architecture was inspired by the visual ...
Gad Cohen, Daphna Weinshall
openaire   +1 more source