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Never Forget Gradient Descent and Loss Function Ever Again
Understand why we use gradient descent and which loss function best suits your needs
In the previous article(link), we found out about the various activation functions and which one best suits our needs. After we choose an activation function, we are ready to feed data to our neural network. After the first record, we get a predicted value that is way off from the original value.
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