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Learn AI with Python · Lesson

Backpropagation Algorithm

Learning and optimization concepts.

1

Backpropagation Algorithm

Backpropagation is a key algorithm used to train neural networks. It calculates the gradient of the loss function with respect to each weight by propagating errors backward through the network.

Backpropagation Algorithm — illustration 1

2

Key Steps in Backpropagation

The backpropagation process involves:

  1. Forward Pass: Compute the output and the loss.
  2. Backward Pass: Calculate the gradient of the loss function with respect to weights and biases.
  3. Weight Update: Adjust weights using an optimization algorithm like gradient descent.

All lessons in this course

  1. Introduction to Neural Networks
  2. Activation Functions
  3. Feedforward Neural Networks
  4. Backpropagation Algorithm
  5. First Neural Network with TensorFlow
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