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Backpropagation in neural networks step-by-step explained
Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...
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Activation functions in neural networks: Types and examples
In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...
Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...
A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.
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