Networking Courses Online
Networking Live Instructor Led Online Training Networking courses is delivered using an interactive remote desktop.
During the Networking courses each participant will be able to perform Networking exercises on their remote desktop provided by Qwikcourse.

ANTFARM
ANTFARM is a passive network mapping application that utilizes output from existing network examination tools to populate its OSI-modeled database. This data can then be used to form a ‘picture’ of the network being analyzed. ANTFARM is a data fusion tool that does not directly interact with the network. The analyst can use a variety of passive or active data gathering techniques, the outputs of which are loaded into ANTFARM and incorporated into the network map. Data gathering can be limited to completely passive techniques when minimizing the risk of disrupting the operational network is a concern. Code development takes place from GitHub. The latest source code for each ANTFARM release is mirrored at the RubyForge project as well as SCM.
Changing Your MAC Address
VisualizeMNIST
VisualizeMnist
This course is real-time visualization of a network recognizing digits from user's input. I trained a network using MNIST dataset and parsed the weight data in python. With this data, I implemented my own custom functions that are needed to run the network in Processing including matrix multiplication function, activation functions. At first trial, because MNIST dataset is preprocessed for numbers to be in the center of the images, there was a precision problem when the user's input is placed little bit far away from the center. I used data augmentation technic in the training process to resolve this problem.
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