http://neuralnetworksanddeeplearning.com/chap1.html#eqtn3
Feed forward vs Recurrent nets
Feed forward simply give output as input to the next layer
Recurrent nets can give output to previous layer and that could come back as input after some time to the same layer.
But as of now algorithms are not good enough for Recurrent.
Weights and biases/Gradient Descent
Feed forward vs Recurrent nets
Feed forward simply give output as input to the next layer
Recurrent nets can give output to previous layer and that could come back as input after some time to the same layer.
But as of now algorithms are not good enough for Recurrent.
Weights and biases/Gradient Descent
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