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Issam Laradji

Sunday, 17 August 2014. GSoC 2014) Final Summary (Neural Networks). In terms of the requirements, the three algorithms mentioned in the proposal - (1) Multi-layer perceptron, (2) Multi-layer perceptron. With pre-training, and (3) Extreme Learning Machines. In fact, most of the work involved was optimizing the speed of execution, improving readability - this includes proper naming and convenient infrastructure of the code base, and writing a comprehensive documentation. The algorithms are. This wouldn't h...

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Issam Laradji | issamlaradji.blogspot.com Reviews

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Sunday, 17 August 2014. GSoC 2014) Final Summary (Neural Networks). In terms of the requirements, the three algorithms mentioned in the proposal - (1) Multi-layer perceptron, (2) Multi-layer perceptron. With pre-training, and (3) Extreme Learning Machines. In fact, most of the work involved was optimizing the speed of execution, improving readability - this includes proper naming and convenient infrastructure of the code base, and writing a comprehensive documentation. The algorithms are. This wouldn't h...

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Issam Laradji | issamlaradji.blogspot.com Reviews

https://issamlaradji.blogspot.com

Sunday, 17 August 2014. GSoC 2014) Final Summary (Neural Networks). In terms of the requirements, the three algorithms mentioned in the proposal - (1) Multi-layer perceptron, (2) Multi-layer perceptron. With pre-training, and (3) Extreme Learning Machines. In fact, most of the work involved was optimizing the speed of execution, improving readability - this includes proper naming and convenient infrastructure of the code base, and writing a comprehensive documentation. The algorithms are. This wouldn't h...

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issamlaradji.blogspot.com

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Issam Laradji: May 2014

http://issamlaradji.blogspot.com/2014_05_01_archive.html

Monday, 19 May 2014. Week 1) GSoC 2014: Extending Neural Networks Module for Scikit learn. Starting my first task for the GSoC 2014 project. Will be finishing the Multi-layer Perceptron pull request and its documentation this week: 19 May to 26 May. The relevant Github link is, https:/ github.com/scikit-learn/scikit-learn/pull/2120. Subscribe to: Posts (Atom). Week 1) GSoC 2014: Extending Neural Networks Modu. Simple template. Template images by Jason Morrow.

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Issam Laradji: July 2014

http://issamlaradji.blogspot.com/2014_07_01_archive.html

Sunday, 27 July 2014. GSoC 2014) Progress report for 07/27/14. I submitted implementations of multi-layer perceptron ( mlp-link. And extreme learning machines ( elm-link. And their documentations as well. Yet many improvements could be made through revisions and my mentors' momentous support that they always provided throughout the summer. Besides many corrections, a lot have been added since the last post - here is an overview,. I wrote, with the help of my mentor, a documentation ( link. I am currently...

3

Issam Laradji: June 2014

http://issamlaradji.blogspot.com/2014_06_01_archive.html

Sunday, 22 June 2014. GSoC 2014: Extending Neural Networks Module for Scikit-Learn. The objective is to implement neural network algorithms in a clean, well-tested code using the scikit-learn API. The algorithms are meant to be user-friendly and easy to edit and scale for those who wish to extend, or debug them if necessary. Since the start of GSoC 2014 until now, I completed two modules, multi-layer perceptron (mlp) #3204. And mlp with pre-training #3281. MLP also consists of a regularization term `alph...

4

Issam Laradji: (Week 1) GSoC 2014: Extending Neural Networks Module for Scikit learn

http://issamlaradji.blogspot.com/2014/05/gsoc-2014-extending-neural-networks.html

Monday, 19 May 2014. Week 1) GSoC 2014: Extending Neural Networks Module for Scikit learn. Starting my first task for the GSoC 2014 project. Will be finishing the Multi-layer Perceptron pull request and its documentation this week: 19 May to 26 May. The relevant Github link is, https:/ github.com/scikit-learn/scikit-learn/pull/2120. Subscribe to: Post Comments (Atom). Week 1) GSoC 2014: Extending Neural Networks Modu. Simple template. Template images by Jason Morrow.

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Issam Laradji: August 2014

http://issamlaradji.blogspot.com/2014_08_01_archive.html

Sunday, 17 August 2014. GSoC 2014) Final Summary (Neural Networks). In terms of the requirements, the three algorithms mentioned in the proposal - (1) Multi-layer perceptron, (2) Multi-layer perceptron. With pre-training, and (3) Extreme Learning Machines. In fact, most of the work involved was optimizing the speed of execution, improving readability - this includes proper naming and convenient infrastructure of the code base, and writing a comprehensive documentation. The algorithms are. This wouldn't h...

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issamlaradji.blogspot.com

Issam Laradji

Sunday, 17 August 2014. GSoC 2014) Final Summary (Neural Networks). In terms of the requirements, the three algorithms mentioned in the proposal - (1) Multi-layer perceptron, (2) Multi-layer perceptron. With pre-training, and (3) Extreme Learning Machines. In fact, most of the work involved was optimizing the speed of execution, improving readability - this includes proper naming and convenient infrastructure of the code base, and writing a comprehensive documentation. The algorithms are. This wouldn't h...

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