Adversarial Machine Learning Keynotes : an approch to make a model smart to generate good quality artifical data to inject adversarial examples into the training set and continuously monitoring the example generation performance of the model. a way to make a model smarter by a competitive performance Basic Terminology :
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Gene Classification using Support Vector Machine
Binary Classification is a common problem in Machine Learning.
Bangla Handwritten Character Recognition using Deep Neural Network in R
A deep neural network (DNN) is an artificial neural network (ANN) with multiple hidden layers of units between the input and output layer. DNN can learning complex non-linear relationship between input patterns and can generate compositional models where the input data(iamges) is expressed as a layred composition. Stack Auto-Encoder is one kind of Simple Neural…
NAT Traversal
The Internet technology has brought rapid changes in data communication. Data communication covers the range of File Sharing , Voice Call, Instant Messaging etc. For data transmission over internet between the sender host to receiver host , NAT Traversal plays an important rule to discover the packet routing path from sender to receiver host. When…
Adaptive layout with UITableView
In this article , we see how we can use Custom UITableViewcell and avoid manual calculation of height’s of Cell when cell structure is complex by containing variable size elements like UILabel, UITextView etc. 1.Create a Project AppStoreDemo. 2. Go to Storyboard , Take a UISearchBar and a UITableView. UITableView just below the UISearchBar. Define…
Machine Learning: Fundamental Concepts
Machine Learning is a subject which deals with an intelligent system which can prove it can learn by providing expected evidence when it is presented to a testing purpose . What is learning ? Learning is a process which grows a special knowledge about a thing and a general idea about its behavior like…
Going Deeper into Artificial Intelligence 