Core Neural Network Theory and Practice
aha30005480
$4.40
Early Bird
50%
$2.20
Basic / Artificial Neural Network, classification, gradient-descent, dnn
New
New
From perceptrons to backpropagation, systematically learn the core mathematical theories of neural networks and implement them directly in R. Build a solid foundation in deep learning—including activation functions, gradient descent, and multilayer neural networks—while developing the ability to solve classification problems using real-world datasets.
Basic
Artificial Neural Network, classification, gradient-descent
