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Neural Network From Scratch with C++ — Part 1

A computational model that makes decisions similar to the human brain is called a neural network. Neural networks consist of layers of nodes, or neurons: an input layer, one or more hidden layers, and an output layer. These layers process and learn from data.

Neural Network From Scratch with C++ — Part 2

Backpropagation is a crucial algorithm in neural networks used to optimize the weights and biases of the model. By calculating the gradient of the loss function with respect to each parameter, backpropagation adjusts the parameters to minimize errors and improve the network's learning process.

Neural Network From Scratch with C++ — Part 3

After implementing feedforward and backpropagation in the last part, we can finally put the last piece of the puzzle together to complete our mini neural network..

Blockchain Introduction: The technology behind it

Blockchain technology has taken the world by storm, making headlines and sparking curiosity across various industries. Its promises of secure, transparent, and immutable transactions have piqued the interest of tech enthusiasts, entrepreneurs, and businesses alike.