Agenda
MSc ES Thesis Presentation
- Thursday, 24 October 2019
- 10:00-10:45
- HB 17.150
N-Shot Training Methodology
Ninad JoshiTraditional Artificial Neural Networks(ANNs)like CNNs have shown tremendous opportunities in various domains like autonomous cars, disease diagnosis, etc. Proven learning algorithms like backpropagation help ANNs in achieving higher accuracy. But there is a serious challenge with the increasing popularity of traditional ANNs is of energy consumption and computational complexity.
Spiking Neural Networks (SNNs) are considered to be next-generation neural networks that are capable of doing complex deep learning applications at fraction of energy that is needed in current deep learning applications because of its similarity to biological neurons. However, SNN is still not able to match the classification accuracy of ANNs which poses a big challenge for wide acceptance of SNN in various applications as traditional learning methods like backpropagation are not possible in SNN.
During training of a neural network the weight matrix is of the highest importance as it eventually decides the trajectory of learning. Currently, one existing solution is to just manually convert ANNs into SNNs to get weight matrix which doesnot focus on getting weight matrix from a small dataset and doesn’t consider spiking neuron parameters.
We aim to address this challenge by proposing a novel N-shot training methodology that is capable of providing a weight matrix for SNN and can give sufficient classification accuracy. The methodology not only provides the weight matrix but can do training with a very small dataset(up to 1 image per class) and still can give considerably higher accuracy. For a reduced MNIST dataset, the method can give an accuracy of 71.68% 10 images per class.
Additional information ...Agenda
- Tue, 30 Apr 2024
- 10:00
- HB18.090
MSc SPS Thesis presentation
Wim Kok
A SystemC SNN model for power trace generation
- Mon, 6 May 2024
- 12:30
- Aula Senaatszaal
PhD Thesis Defence
Christoph Manss
Multi-agent exploration under sparsity constraints
- Tue, 21 May 2024
- 10:00
- Aula Senaatszaal
PhD Thesis Defence
Wangyang Yu
- 27 -- 28 May 2024
- Aula, TU Delft
Conferences
44th Benelux Symposium on Information Theory and Signal Processing (SITB'24, Delft)
- Tue, 18 Jun 2024
- 15:00
- Aula Senaatszaal
PhD Thesis Defence
Hanie Moghaddasi
Model-based feature engineering of atrial fibrillation
- Mon, 24 Jun 2024
- Aula, TU Delft