Global Certificate in Neural Networks: An Introduction
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โข Introduction to Neural Networks: Basics of artificial neural networks, architecture, and components
โข Perceptron Model: Single-layer perceptron, binary classification, and algorithm
โข Activation Functions: Types, importance, and applications of activation functions
โข Multi-Layer Perceptrons: Architecture, backpropagation, and training algorithms
โข Convolutional Neural Networks: Basics, architecture, and applications
โข Recurrent Neural Networks: Basics, architecture, and applications
โข Deep Learning: Concepts, architectures, and optimization techniques
โข Natural Language Processing: Introduction, deep learning techniques, and applications
โข Generative Adversarial Networks: Basics, architecture, and applications
โข Transfer Learning and Fine-Tuning: Concepts, techniques, and real-world applications
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