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How Instagram use Neural Network.

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In this article I will cover how Instagram use NPL and how Instagram Recommendation Systems work. Let's understand in depth: -> Instagram use The Two Towers Neural Networks. Instagram utilizes NLP to analyze user interactions and preferences to recommend relevant posts, stories, and accounts to follow. This involves understanding the text in captions, comments, and user bios. Instagram Reels incorporates advanced ML models like Two Towers Neural Network   These models enable the recommendation system to efficiently handle billions of content options in real-time. The multi-stage approach to ranking content for users involves  retrieval, first-stage ranking, second-stage ranking, and final reranking . Two-Tower Neural Network Architecture The two-tower neural network, also known as a dual-tower or Siamese network, consists of two separate neural networks (towers) that process different types of inputs before merging their outputs to make a final prediction. In the context of...
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Type of Neural Network.

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Let's Discuss about types with Real time Example & Detail Explanation. -: Below is the list of  type and Real time Example that I  have covered in this article. 1. Convolutional Neural Networks -  Classifying Handwritten Digits  2. Deconvolutional Neural Networks  - Image Generation 3. Recurrent neural networks  -   Speech Recognition 4. Feed-forward neural networks  -  Predicting House Prices 1.  Convolutional Neural Networks: Convolutional Neural Networks (CNNs) are a class of deep neural networks specifically designed for processing structured grid data, such as images. They are particularly effective for tasks involving image recognition and classification. Let's break down CNNs with a real-time example  - Let's break down internal working of  CNN With Real time Example. There are four layer inside CNN. 1. Convolutional Layer :  This layer applies a convolution operation to the input, passing the result to th...
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Machine learning neural networks (MLNNs)

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                 Neural Network      In this article we will discuss: 1.What is a  Neural Network ? 2. How do Neural Networks work? 3.What are the layers in Neural Network? 4.What are types of Neural Network? 5.Real time Applications.                         What is a Neural Network? N eural networks are a subset of machine learning algorithms inspired by the structure and function of the human brain. They consist of interconnected layers of nodes (neurons) that process data. Neural networks are used in Machine Learning , which refers to a category of computer programs that learn without definite instructions. Specifically, neural networks are used in deep learning an advanced type of machine learning that can draw conclusions from unlabeled data without human intervention. For instance, a deep learning model built on a neural network and ...
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