Machine Learning Neural Network

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...

                 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 ...