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Wednesday, July 25, 2018

Top 5 Deep Learning Architectures | Insights - Packt Hub

If you are a deep learning practitioner or someone who wants to get into the world of deep learning, you might be well acquainted with neural networks already, as Packt Hub reports. 


Neural networks, inspired by biological neural networks, are pretty useful when it comes to solving complex, multi-layered computational problems. Deep learning has stood out pretty well in several high-profile research fields – including facial and speech recognition, natural language processing, machine translation, and more.

In this article, we look at the top 5 popular and widely-used deep learning architectures you should know in order to advance your knowledge or deep learning research.
Convolutional Neural Networks Convolutional Neural Networks, or CNNs in short, are the popular choice of neural networks for different Computer Vision tasks such as image recognition. The name ‘convolution’ is derived from a mathematical operation involving the convolution of different functions.

There are 4 primary steps or stages in designing a CNN:
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Source: Packt Hub


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