共 50 条
- [41] Calibrated Stochastic Gradient Descent for Convolutional Neural Networks THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 9348 - 9355
- [43] A gradient descent learning algorithm for fuzzy neural networks 1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 1136 - 1141
- [44] Convergence of gradient descent for learning linear neural networks ADVANCES IN CONTINUOUS AND DISCRETE MODELS, 2024, 2024 (01):
- [46] Fractional Gradient Descent Method for Spiking Neural Networks 2023 2ND CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, CFASTA, 2023, : 636 - 641
- [47] Understanding the Convolutional Neural Networks with Gradient Descent and Backpropagation 2ND INTERNATIONAL CONFERENCE ON MACHINE VISION AND INFORMATION TECHNOLOGY (CMVIT 2018), 2018, 1004
- [48] Neural Networks can Learn Representations with Gradient Descent CONFERENCE ON LEARNING THEORY, VOL 178, 2022, 178
- [49] Understanding approximate Fisher information for fast convergence of natural gradient descent in wide neural networks* JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2021, 2021 (12):
- [50] Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33