Скачать или смотреть Extracting Visual Feature using Convolution Algorithm | Convolutional vs Neural Network Visual Data

How Deep learning Algorithms learns Visual Features from Visual Data Using Convolutional Techniques!!!!!!!!!!!!!

We need to construct cleverly the deep learning algorithms (Neural network) to learn visual features from visual data. In this tutorial we will compare the simple fully connected neural network and Convolutional Neural Network to process the Visual Data in form of image. The Different operations performed during the convolution process will also be discussed to extract the dimensional structure of the image. The process of Convolution will be demonstrated with some example to understand the basics of Convolutional Neural Network.

In the last tutorial we cover how to represent image in Computer, or simple how does a computer process an image, and how different features from image data or visual data are extracted. Besides this we need to know the different steps while extracting high level features from image data. Obviously we need to compare both the machine learning and deep learning algorithms used to process an image and extract features from image data.

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