Archives for convolutional neural network
the convolutional layers reduce the size of the output. So in cases where we want to increase the size of the output and save the information presented in the corners
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The actual environment of Keyword recognition is quite more complex than this demonstration. This article focuses on knowing the basic idea used behind the keyword recognition for short audio files of one second. As the convolutional networks outperform when it comes to image-based classification tasks, we are leveraging this behaviour of convolutional neural networks to the keyword recognition/classification task.
The post How To Do Keyword Recognition Using Simple Convolutional Network appeared first on Analytics India Magazine.
The word “Feature”, when explained as in the domain of computer vision and image processing, can be defined as a piece of information that describes or tells us about the content of an image. For example, it helps us identify whether a certain region of an image has certain properties. Features in an image help…
The post Introduction To Local Feature Matching Using LoFTR appeared first on Analytics India Magazine.
The autoencoder is a specific type of feed-forward neural network where input is the same as output.
The post Guide to Autoencoders, with Python code appeared first on Analytics India Magazine.