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Mayur IngoleSimple Neural Network for Dummies in PyTorch: A Step-by-Step GuideIn this blog, we’ll walk through building and training a simple neural network using PyTorch. We’ll use the MNIST dataset, a collection of…Jun 16Jun 16
InTowards AIbyShenggang LiUnpacking Kolmogorov-Arnold NetworksEdge-Based Activation: Exploring the Mathematical Foundations and Practical Implications of KANsMay 105May 105
LukaszGatarekExploring the Impact of the Number of Hidden Layer Neurons on Neural Network Performance and…In this post, we explore the impact of the number of neurons in the hidden layer on the performance of a neural network. We will examine…Nov 23
InTowards Data SciencebySamy BaladramMultilayer Perceptron, Explained: A Visual Guide with Mini 2D DatasetDissecting the math (with visuals) of a tiny neural networkOct 256
Mayur IngoleSimple Neural Network for Dummies in PyTorch: A Step-by-Step GuideIn this blog, we’ll walk through building and training a simple neural network using PyTorch. We’ll use the MNIST dataset, a collection of…Jun 16
InTowards AIbyShenggang LiUnpacking Kolmogorov-Arnold NetworksEdge-Based Activation: Exploring the Mathematical Foundations and Practical Implications of KANsMay 105
Buse KöseoğluOne Layer Neural Network From Scratch — ClassificationClassification is a supervised learning method. In supervised learning, we have labels for our data. Algorithms learn from these labels…Jul 28, 20232
FeminteeThe Dawn of AI: Advancements in Natural Language Processing and Their Impact on TechnologyArtificial Intelligence (AI) has been evolving at an unprecedented pace, and one of the most fascinating advancements in this field is in…Nov 18
InArtificialisbyIva @ Tesla InstituteGraph Neural Networks: The Label Propagation algorithm.Graphs are all around us. Real-world objects are often defined in terms of their connections to other things. A set of objects, and the…Dec 3, 2022
