Category: Deep Learning
Deep Learning – Introduction to Convolutional Neural Networks
Convolutional neural networks (CNN) are based on simple principles of science and math, even though they may seem complicated to some. When a filter is applied to the input, it will cause the activation to happen. This is a simple and easy thing to do. A feature map is made by using a filter many times on an input. This shows where the features are and how strong they are in the input.
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Demystifying Deep Learning – Back to Basics
Deep Learning (DL) employs multiple layers of non-linear training units in order to facilitate feature extraction and transformation. The phenomenon of artificial intelligence has induced significant transformation in contemporary enterprises due to its demonstration of a degree of accuracy in specific endeavors that is akin to human capabilities. A variety of tasks, including but not limited to design acknowledgment, pattern recognition, picture classification, and voice/text interpreting, are frequently employed in the respective field under consideration. Self-driving CAR is one of the best examples and biggest achievements so far.
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Uncovering Anxious Deep Learning for Ease
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
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2018 Year of Intelligence – Artificial & Augmentation
Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.
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Convolutional Neural Networks – Basic Info
The Convolutional Neural Network, CNN for short, is a powerful automated technology that supports a range of functions like self-driving, analyzing medical images and processing natural language. This software has exceptional efficiency in handling large and complex data sets.
