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Unit III focuses on Neural Networks, covering topics such as the biological motivation behind ANNs, their representation, and suitable problems for ANN learning. It discusses various architectures including Perceptrons, multilayer networks, and popular models like CNNs, RNNs, and LSTMs. Additionally, it addresses activation functions, loss functions, and the limitations of machine learning, particularly in ethical considerations and deterministic problems.

Author
sneshan555
Language
EN