Neural Networks


In artificial intelligence, neural networks are a set of algorithms that mimic the way the human brain works. They are composed of many neurons with many connections between them, and are built to recognize patterns, or the underlying relationships in a dataset. Examples of applications of neural networks are speech recognition, image analysis, and autonomous robots.



Here’s a detailed architecture of a MobileNet model (Source: ResearchGate), an example of a neural network. Read the blog for an overview of SOTA deep neural networks.

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Computer Vision
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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")