AI Lecture ReferencesPDFPublished
Machine Learning Foundations: Neural Networks and CNNs (PDF)
An introductory course on learning systems, perceptrons, neural networks, backpropagation and convolutional neural networks.
About this resource
Covers supervised, unsupervised and reinforcement learning, classification, features, perceptron training, multilayer networks, activation functions, overfitting, convolution and pooling. Includes worked examples for perceptrons and neural networks. Lecture topic: AI and machine-learning foundations.
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