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What is backpropagation and how does it work?

What is backpropagation and how does it work?

Technology

What is backpropagation and how does it work?

Backpropagation is a process involved in training a neural network. It involves taking the error rate of a forward propagation and feeding this loss backward through the neural network layers to fine-tune the weights.

Backpropagation, short for “backward propagation of errors,” is a common algorithm used to train neural networks. A supervised learning technique that adjusts the weights of the neurons in a neural network in order to improve the accuracy of the network’s predictions.

Backpropagation is the essence of neural net training.

The backpropagation algorithm works by calculating the error between the network’s predicted output and the actual output for a given input.

The error becomes propagated backwards through the network, from the output layer to the input layer, in order to calculate the contribution of each neuron to the overall error.

Once the contribution of each neuron to the overall error has become calculated, the algorithm then adjusts the weights of the neurons in order to reduce the error. Moreover, achieved by updating the weights of the neurons in proportion to their contribution to the overall error. Using a gradient descent optimization algorithm.

The backpropagation algorithm usually becomes performed multiple times, or epochs. With each epoch consisting of a forward pass through the network to make predictions. And a backward pass to update the weights based on the calculated error. This process becomes repeated until the network’s accuracy reaches a satisfactory level. Or until a predetermined number of epochs has become reached.

In conclusion, backpropagation is a key algorithm for training neural networks. Furthermore, has become used successfully in a wide range of applications, including image recognition, speech recognition, and natural language processing. However, it can be computationally expensive. And requires significant computing resources to train large neural networks with many layers and neurons.

Technology

What is backpropagation and how does it work?