tobias.koopmann | BibSonomy

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1Natural Language Processing (NLP) Applications of Deep Learning
http://www.iro.umontreal.ca/~bengioy/ift6266/H13/nlp.pdf
6 years ago by @tobias.koopmann
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1Forward And Backpropagation in Convolutional Neural Network.
https://medium.com/@2017csm1006/forward-and-backpropagation-in-convolutional-neural-network-4dfa96d7b37e
6 years ago by @tobias.koopmann
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1Backpropagation In Convolutional Neural Networks
http://www.jefkine.com/general/2016/09/05/backpropagation-in-convolutional-neural-networks/
6 years ago by @tobias.koopmann
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1Back Propagation in Convolutional Neural Networks — Intuition and Code
https://becominghuman.ai/back-propagation-in-convolutional-neural-networks-intuition-and-code-714ef1c38199
6 years ago by @tobias.koopmann
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2Sync Settings
https://www.google.com/calendar/syncselect
2 years ago by @tobias.koopmann
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3TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. Corrado, A. Davis, J. Dean, M. Devin and 30 other author(s). (2015)Software available from tensorflow.org.
6 years ago by @tobias.koopmann
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2Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
S. Abdali, S. Mukherjee, and E. Papalexakis. (2022)
2 years ago by @tobias.koopmann
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4MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
S. Abu-El-Haija, B. Perozzi, A. Kapoor, N. Alipourfard, K. Lerman, H. Harutyunyan, G. Steeg, and A. Galstyan. Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, page 21--29. PMLR, (09--15 Jun 2019)
10 months ago by @tobias.koopmann
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4MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
S. Abu-El-Haija, B. Perozzi, A. Kapoor, H. Harutyunyan, N. Alipourfard, K. Lerman, G. Steeg, and A. Galstyan. CoRR, (2019)
3 months ago by @tobias.koopmann
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1Academic freedom, private-sector focus, and the process of innovation
P. Aghion, M. Dewatripont, and J. Stein. The RAND Journal of Economics, 39 (3): 617--635 (2008)
3 months ago by @tobias.koopmann
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BibSonomy

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1Natural Language Processing (NLP) Applications of Deep Learning

1Forward And Backpropagation in Convolutional Neural Network.

1Backpropagation In Convolutional Neural Networks

1Back Propagation in Convolutional Neural Networks — Intuition and Code

2Sync Settings

3TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems

2Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels

4MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

4MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

1Academic freedom, private-sector focus, and the process of innovation

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