Categories: AI/ML Research

Building a Single Layer Neural Network in PyTorch

Last Updated on January 10, 2023 A neural network is a set of neuron nodes that are interconnected with one another. The neurons are not just connected to their adjacent neurons but also to the ones that are farther away. The main idea behind neural networks is that every neuron in a layer has one […]

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Building an Image Classifier with a Single-Layer Neural Network in PyTorch

Last Updated on January 18, 2023 A single-layer neural network, also known as a single-layer perceptron, is the simplest type of neural network. It consists of only one layer of neurons, which are connected to the input layer and the output layer. In case of an image classifier, the input…

January 18, 2023

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Building a Convolutional Neural Network in PyTorch

Neural networks are built with layers connected to each other. There are many different kind of layers. For image related applications, you can always find convolutional layers. It is a layer with very few parameters but applied over a large sized input. It is powerful because it can preserve the…

March 6, 2023

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Neural Network with More Hidden Neurons

Last Updated on January 10, 2023 The traditional model of neural network is called multilayer perceptrons. They are usually made up of a series of interconnected layers. The input layer is where the data enters the network, and the output layer is where the network delivers the output. The input…

January 16, 2023

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