Convolutional neural networks: an illustration in TensorFlow-Reference-Cited by-同舟云学术

Convolutional neural networks: an illustration in TensorFlow

Published:2016-06-13 Issue:4 Volume:22 Page:56-58
ISSN:1528-4972
Container-title:XRDS: Crossroads, The ACM Magazine for Students
language:en
Short-container-title:XRDS

Author:

Saxena Abhineet¹

Affiliation:

1. Guru Gobind Singh Indraprastha University, New Delhi, India

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/2951024

Reference5 articles.

1. Deep MNIST For Experts. TensorFlow. https://www.tensorflow.org/versions/0.6.0/tutorials/mnist/pros/index.html Deep MNIST For Experts. TensorFlow. https://www.tensorflow.org/versions/0.6.0/tutorials/mnist/pros/index.html

2. LeCun Y. et. al. The MNIST Database of Handwritten Digits. http://yann.lecun.com/exdb/mnist LeCun Y. et. al. The MNIST Database of Handwritten Digits. http://yann.lecun.com/exdb/mnist

3. Gradient-based learning applied to document recognition

4. MNIST for ML Beginners. TensorFlow. https://www.tensorflow.org/versions/r0.7/tutorials/mnist/beginners/index.html MNIST for ML Beginners. TensorFlow. https://www.tensorflow.org/versions/r0.7/tutorials/mnist/beginners/index.html

5. Rodrigo Benenson's classification datasets results. http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html#4d4e495354 Rodrigo Benenson's classification datasets results. http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html#4d4e495354

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