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MNIST dataset is a database containing images of handwritten digits, with each image labeled by an integer from 0 to 9. It is used to benchmark the performance of machine learning algorithms. Neural networks for MNIST are regarded as the starting point of the studying machine learning algorithms. However it is not easy to start the actual programming. In this expository article, we will give a step-by-step instruction to build neural networks for MNIST dataset using MATLAB.
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참고문헌 (23)
참고문헌 신청
G. Cybenko / 1989 / Approximations by superpositions of sigmoidal functions / Mathematics of Control, Signals, and Systems 2(4):303~314
M.T. Hagan / Neural network Design
M.T. Hagan / 0000 / Neural network design
J. J. Hopfield / 1982 / Neural networks and physical systems with emergent collective computational abilities / Proceedings of the National Academy of Sciences 79:2554~2558
K. Hornik / 1991 / Approximation capabilities of multilayer feedforward networks / Neural Networks 4(2):251~257
M.T. Hagan / Neural network Design
M.T. Hagan / 0000 / Neural network design
J. J. Hopfield / 1982 / Neural networks and physical systems with emergent collective computational abilities / Proceedings of the National Academy of Sciences 79:2554~2558
K. Hornik / 1991 / Approximation capabilities of multilayer feedforward networks / Neural Networks 4(2):251~257
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