Deep Learning terminology can be quite overwhelming to newcomers.. This blog post covers important aspect of deep learning which can be defined as set of techniques that uses neural networks to simulate human decision-making skills. #AILabPage
The Appeal of AI for Cyber Security has extremely good reasons like automation of operational tasks, develop & delivering predictive capabilities, mitigating human biases behaviour and derive actionable intelligence. On the down side AI requires high volumes of high quality data to learn.
Somebody mentioned it to me some time back and I laughed then. The day you decided to come online you actually accepted “No to privacy”. Now its even worse as we can even use radio signals to see through walls so no need to be online. Signals now can be used to monitor a person’s precise movements through a solid wall. What else and how far we will go cant answer now. But all these development for sure has its pros and cons sides.
Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.
A technique for implementing machine learning. At the same time I also claim It is absolutely wrong to call Deep Learning as Machine Learning (in my personal opinion). The techniques is to achieve a goal not necessarily come out of same goal. #AILabPage