technology

CYBER CRIME CASE STUDY IN INDIA

Computer Crime Cyber crime encompasses any criminal act dealing with computers and networks (called hacking).Additionally, cyber crime also includes traditional crimes conducted through the internet. For example; The computer may be used as a tool in the following kinds of activity- financial crimes, sale of illegal articles, pornography, online gambling, […]

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Technology – Friend or Foe

In today’s world we can’t even imagine life without Technology. And since the pandemic broke out the technology has became an absolute necessity. In the current time, everything we do is mostly online whether it is classes, meetings, webinar etc. And this might be the way our future will be […]

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VACCINE TECHNOLOGY

BY DAKSHITA NAITHANI ABSTRACT The immune system is a system that operates 24 hours a day, seven days a week to keep assaults at bay and diseases at bay. The whole system is made up of organs, tissues, and a variety of cell types that work together to defend the […]

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BLESSING IN DISGUISE

BY DAKSHITA NAITHANI The year 2020, as we all know, will be a major change in our life. It has also demonstrated the opposite side of existence. We continued to count things for the future, and when the pandemic struck, it reminded us of how unexpected life can be; different […]

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DEEP LEARNING SERIES- PART 10

This is the last article in this series. This article is about another pre-trained CNN known as the ResNet along with an output visualization parameter known as the confusion matrix. ResNet This is also known as a residual network. It has three variations 51,101,151. They used a simple technique to […]

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DEEP LEARNING SERIES- PART 9

This article is about one of the pre-trained CNN models known as the VGG-16. The process of using a pretrained CNN is known as transfer learning. In this case, we need not build a CNN instead we can use this with a modification. The modifications are:- Removing the top (input) […]

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DEEP LEARNING SERIES- PART 8

The previous article was about the padding, stride, and parameters of CNN. This article is about the pooling and the procedure to build an image classifier. Pooling This is another aspect of CNN. There are different types of pooling like min pooling, max pooling, avg pooling, etc. the process is […]

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DEEP LEARNING SERIES- PART 7

The previous article was about the process of convolution and its implementation. This article is about the padding, stride and the parameters involved in a CNN. We have seen that there is a reduction of dimension in the output vector. A technique known as padding is done to preserve the […]

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DEEP LEARNING SERIES- PART 6

The previous article was about the procedure to develop a deep learning network and introduction to CNN. This article concentrates on the process of convolution which is the process of taking in two images and doing a transformation to produce an output image. This process is common in mathematics and […]

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DEEP LEARNING SERIES- PART 5

The previous article was on algorithm and hyper-parameter tuning. This article is about the general steps for building a deep learning model and also the steps to improve its accuracy along with the second type of network known as CNN. General procedure to build an AI machine Obtain the data […]

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