Skip to main content
  • SPS
    Members: Free
    IEEE Members: Free
    Non-members: Free
    Length: 0:04:32
01 Feb 2024

Part 4 of the series of lectures is dedicated to neural networks (NNs). It starts from the origins of the field, the perceptron, and it evolves up to very recent trends of deep learning, including convolutional NNs, recurrent NNs and generative models.

The early days are first briefly reviewed. Then, the perceptron and the perceptron algorithm are introduced, and the first artificial neuron model is presented.

Value-Added Bundle(s) Including this Product

More Like This

01 Feb 2024

P1.13-Cross Validation

1.00 pdh 0.10 ceu
  • SPS
    Members: Free
    IEEE Members: Free
    Non-members: Free
01 Feb 2024

P4.9-Regularization and Dropout

1.00 pdh 0.10 ceu
  • SPS
    Members: Free
    IEEE Members: Free
    Non-members: Free
01 Feb 2024

P2.3-The Gaussian Case

1.00 pdh 0.10 ceu
  • SPS
    Members: Free
    IEEE Members: Free
    Non-members: Free