Data Augmentation

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• Amplifiers: In Data Science, amplifiers refer to algorithms or techniques that increase the strength or magnitude of a signal or feature in a dataset. Amplifiers can be used to enhance the predictive power of a model by increasing the importance of cer ... Read More >>
• Digital ICs: Digital ICs (Integrated Circuits) are electronic circuits that operate on digital signals or binary data. They are composed of transistors, resistors, capacitors, and other electronic components that are fabricated on a single semiconductor ... Read More >>
• Backpropagation: Backpropagation is a supervised learning algorithm used for training artificial neural networks. It is a method of updating the weights of the neural network by propagating the error backwards from the output layer to the input layer. The a ... Read More >>