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Learning long-term dependencies with gradient descent is difficult.

, , and . IEEE Trans. Neural Networks, 5 (2): 157-166 (1994)

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Transformation invariance in pattern recognition: Tangent distance and propagation., , , and . Int. J. Imaging Systems and Technology, 11 (3): 181-197 (2000)An efficient binary image activity detector based on connected components., and . ICASSP (3), page 229-232. IEEE, (2004)Interactive machine teaching: a human-centered approach to building machine-learned models., , , , and . Hum. Comput. Interact., 35 (5-6): 413-451 (2020)The problem of learning long-term dependencies in recurrent networks., , and . ICNN, page 1183-1188. IEEE, (1993)AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning., , , , , , and . ACM Trans. Interact. Intell. Syst., 10 (1): 7:1-7:38 (2020)A Foreground/Background Separation Algorithm for Image Compression., , , and . Data Compression Conference, page 498-507. IEEE Computer Society, (2004)Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis., , and . ICDAR, page 958-962. IEEE Computer Society, (2003)Fast Optical Character Recognition through Glyph Hashing for Document Conversion., , and . ICDAR, page 829-834. IEEE Computer Society, (2005)Shaping the State Space Landscape in Recurrent Networks., , and . NIPS, page 105-112. Morgan Kaufmann, (1990)Boosting Performance in Neural Networks., , and . IJPRAI, 7 (4): 705-719 (1993)