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Messages - anwar.swe

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151
Faculty Forum / Support Vector Machine (SVM)
« on: November 14, 2017, 09:10:45 PM »
What is the goal of the Support Vector Machine (SVM)?

The goal of a support vector machine is to find the optimal separating hyperplane which maximizes the margin of the training data.
The first thing we can see from this definition is that a SVM needs training data. Which means it is a supervised learning algorithm.

It is also important to know that SVM is a classification algorithm. Which means we will use it to predict if something belongs to a particular class.

Source:https://www.svm-tutorial.com/

152
Faculty Forum / Welcome to Deep Learning
« on: November 13, 2017, 09:29:07 PM »
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.

If you are just starting out in the field of deep learning or you had some experience with neural networks some time ago, you may be confused. I know I was confused initially and so were many of my colleagues and friends who learned and used neural networks in the 1990s and early 2000s.

The leaders and experts in the field have ideas of what deep learning is and these specific and nuanced perspectives shed a lot of light on what deep learning is all about.

In this post, you will discover exactly what deep learning is by hearing from a range of experts and leaders in the field.

Source: https://machinelearningmastery.com/what-is-deep-learning/

153
Faculty Forum / Re: দার্জিলিং
« on: November 13, 2017, 09:25:39 PM »
Nice place to visit

155
Faculty Forum / Re: 7 Smart Reasons You Should Talk Less and Listen More
« on: November 13, 2017, 09:23:19 PM »
helpful post. thanks

157
Faculty Forum / Computing machinery and Inteligence
« on: November 13, 2017, 09:21:32 PM »
I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the question, "Can machines think?" is to be sought in a statistical survey such as a Gallup poll. But this is absurd. Instead of attempting such a definition I shall replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.

The new form of the problem can be described in terms of a game which we call the 'imitation game." It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart front the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman. He knows them by labels X and Y, and at the end of the game he says either "X is A and Y is B" or "X is B and Y is A." The interrogator is allowed to put questions to A and B thus:

C: Will X please tell me the length of his or her hair?

Now suppose X is actually A, then A must answer. It is A's object in the game to try and cause C to make the wrong identification. His answer might therefore be:

"My hair is shingled, and the longest strands are about nine inches long."

In order that tones of voice may not help the interrogator the answers should be written, or better still, typewritten. The ideal arrangement is to have a teleprinter communicating between the two rooms. Alternatively the question and answers can be repeated by an intermediary. The object of the game for the third player (B) is to help the interrogator. The best strategy for her is probably to give truthful answers. She can add such things as "I am the woman, don't listen to him!" to her answers, but it will avail nothing as the man can make similar remarks.

We now ask the question, "What will happen when a machine takes the part of A in this game?" Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman? These questions replace our original, "Can machines think?"

Source: http://www.loebner.net/Prizef/TuringArticle.html

158
At its F8 developer conference in San Jose, Facebook is announcing the launch of Caffe2, a new open-source framework for deep learning, a trendy type of artificial intelligence (AI). Deep learning generally involves training artificial neural networks on lots of data, like photos, and then getting them to make inferences about new data.

Today’s announcement builds on Facebook’s contributions to the Torch open-source deep learning framework and more recently the PyTorch framework that the Facebook Artificial Intelligence Research (FAIR) group conceived. And last year Facebook talked about a system called Caffe2go

Source: https://venturebeat.com/2017/04/18/facebook-open-sources-caffe2-a-new-deep-learning-framework/

159
Faculty Forum / Most cited deep learning papers
« on: April 20, 2017, 04:38:40 PM »
This is a curated list of the most cited deep learning papers (since 2012) posted by Terry Taewoong Um.

The repository is broken down into the following categories:
Understanding / Generalization / Transfer
Optimization / Training Techniques
Unsupervised / Generative Models
Convolutional Network Models
Image Segmentation / Object Detection
Image / Video / Etc
Recurrent Neural Network Models
Natural Language Process
Speech / Other Domain
Reinforcement Learning / Robotics
More Papers from 2016

http://www.datasciencecentral.com/profiles/blogs/most-cited-deep-learning-papers

160
Faculty Forum / Welcome to Kaggle Competitions
« on: April 20, 2017, 04:37:12 PM »
Challenge yourself with real-world machine learning problems

https://www.kaggle.com/competitions

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