This repository hosts a Jupyter Notebook used to understand Convolutions performed by hand and with TensorFlow.
Jupyter Notebook(s) written in Python.
| Notebook | Description |
|---|---|
| ConvNets-Custom-Medium.ipynb | Jupyter Notebook for Convolution on Simple Input Volume |
| ConvNets-Custom-Medium-S1_Reindeer.ipynb | Jupyter Notebook for Convolution on Reindeer |
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Kernel (image processing)[https://en.wikipedia.org/wiki/Kernel_(image_processing)]
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tf.nn.conv2d [https://www.tensorflow.org/api_docs/python/tf/nn/conv2d]
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Python. a) Travis E. Oliphant. Python for Scientific Computing, Computing in Science & Engineering, 9, 10–20 (2007) b) K. Jarrod Millman and Michael Aivazis. Python for Scientists and Engineers, Computing in Science & Engineering, 13, 9–12 (2011)
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TensorFlow. Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis,Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Rafal Jozefowicz, Yangqing Jia,Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Mike Schuster,Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Jonathon Shlens,Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker,Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas,Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke,Yuan Yu, and Xiaoqiang Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org.
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SciPy. Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. (2019) SciPy 1.0–Fundamental Algorithms for Scientific Computing in Python. preprint arXiv:1907.10121
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NumPy. a) Travis E. Oliphant. A guide to NumPy, USA: Trelgol Publishing, (2006). b) Stéfan van der Walt, S. Chris Colbert and Gaël Varoquaux. The NumPy Array: A Structure for Efficient Numerical Computation, Computing in Science & Engineering, 13, 22–30 (2011)
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IPython. a) Fernando Pérez and Brian E. Granger. IPython: A System for Interactive Scientific Computing, Computing in Science & Engineering, 9, 21–29 (2007)
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Matplotlib. J. D. Hunter, “Matplotlib: A 2D Graphics Environment”, Computing in Science & Engineering, vol. 9, no. 3, pp. 90–95, 2007.
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Pandas. Wes McKinney. Data Structures for Statistical Computing in Python, Proceedings of the 9th Python in Science Conference, 51–56 (2010)
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Scikit-Learn. Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay. Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research, 12, 2825–2830 (2011)
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Scikit-Image. Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu and the scikit-image contributors. scikit-image: Image processing in Python, PeerJ 2:e453 (2014)
Feel free to contact me to discuss any issues, questions, or comments.
- Email: [email protected]
- GitHub: stevensmiley1989
- LinkedIn: stevensmiley1989
- Kaggle: stevensmiley
This repository contains a variety of content; some developed by Steven Smiley, and some from third-parties. The third-party content is distributed under the license provided by those parties.
The content developed by Steven Smiley is distributed under the following license:
*I am providing code and resources in this repository to you under an open source license. Because this is my personal repository, the license you receive to my code and resources is from me and not my employer.
Copyright 2021 Steven Smiley
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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