Lectures related to Introduction to Neural Networks

Related lectures (32)

Explores the multilayer perceptron model, training, optimization, data preprocessing, activation functions, backpropagation, and regularization.

Introduces Convolutional Neural Networks, explaining their architecture, training process, and applications in semantic segmentation tasks.